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+    <title>/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:224:__call__ 0.84% (5 5 0.00015400100000000002 0.00037240200000000003)</title>
     <rect height="100%" width="100%" fill="rgb(232, 232, 232)" rx="2" ry="2" />
     <text alignment-baseline="central" x="4.0" y="12.0" font-size="12px" fill="rgb(0,0,0)">__call__</text>
 </g></svg>
-<svg class="func_g" x="1169.5806672888343" y="360" width="1" height="23"><g>
-    <title>/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:276:&lt;listcomp&gt; 0.03% (5 5 4.6e-06 5.08e-05)</title>
+<svg class="func_g" x="1167.4815538221078" y="360" width="1" height="23"><g>
+    <title>/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:276:&lt;listcomp&gt; 0.03% (5 5 5.1e-06 5.9701e-05)</title>
     <rect height="100%" width="100%" fill="rgb(218, 218, 218)" rx="2" ry="2" />
     <text alignment-baseline="central" x="4.0" y="12.0" font-size="12px" fill="rgb(0,0,0)">&lt;listcomp&gt;</text>
 </g></svg>
-<svg class="func_g" x="1169.5806672888343" y="384" width="1" height="23"><g>
-    <title>/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:224:__call__ 0.15% (1 1 2.58e-05 7.66e-05)</title>
+<svg class="func_g" x="1167.4815538221078" y="384" width="1" height="23"><g>
+    <title>/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:224:__call__ 0.16% (1 1 3e-05 8.9701e-05)</title>
     <rect height="100%" width="100%" fill="rgb(232, 232, 232)" rx="2" ry="2" />
     <text alignment-baseline="central" x="4.0" y="12.0" font-size="12px" fill="rgb(0,0,0)">__call__</text>
 </g></svg>
-<svg class="func_g" x="1172.2904341550664" y="240" width="1" height="23"><g>
-    <title>~:0:&lt;method 'unbind' of 'torch._C._TensorBase' objects&gt; 0.14% (2 2 2.51e-05 2.51e-05)</title>
+<svg class="func_g" x="1170.553327598161" y="240" width="1" height="23"><g>
+    <title>~:0:&lt;method 'unbind' of 'torch._C._TensorBase' objects&gt; 0.16% (2 2 3e-05 3e-05)</title>
     <rect height="100%" width="100%" fill="rgb(230, 230, 255)" rx="2" ry="2" />
     <text alignment-baseline="central" x="4.0" y="12.0" font-size="12px" fill="rgb(0,0,0)">&lt;method 'unbind' of 'torch._C._TensorBase' objects&gt;</text>
 </g></svg>
-<svg class="func_g" x="1172.2904341550664" y="264" width="1" height="23"><g>
-    <title>/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:980:__iter__ 0.14% (2 2 2.51e-05 2.51e-05)</title>
+<svg class="func_g" x="1170.553327598161" y="264" width="1" height="23"><g>
+    <title>/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:980:__iter__ 0.16% (2 2 3e-05 3e-05)</title>
     <rect height="100%" width="100%" fill="rgb(225, 225, 225)" rx="2" ry="2" />
     <text alignment-baseline="central" x="4.0" y="12.0" font-size="12px" fill="rgb(0,0,0)">__iter__</text>
 </g></svg>
-<svg class="func_g" x="1172.2904341550664" y="288" width="1" height="23"><g>
-    <title>/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:224:__call__ 0.06% (2 2 9.600000000000001e-06 3.8e-05)</title>
+<svg class="func_g" x="1170.553327598161" y="288" width="1" height="23"><g>
+    <title>/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:224:__call__ 0.06% (2 2 1.01e-05 4.39e-05)</title>
     <rect height="100%" width="100%" fill="rgb(232, 232, 232)" rx="2" ry="2" />
     <text alignment-baseline="central" x="4.0" y="12.0" font-size="12px" fill="rgb(0,0,0)">__call__</text>
 </g></svg>
diff --git a/dev/cli_help.html b/dev/cli_help.html
index 5272dd8de..5aed835ee 100644
--- a/dev/cli_help.html
+++ b/dev/cli_help.html
@@ -600,9 +600,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 
 decoder configuration:
   --decoder DECODER [DECODER ...]
-                        Decoders to be considered: [&#39;cifcafdense&#39;, &#39;cifcaf&#39;,
-                        &#39;cifdet&#39;, &#39;trackingpose&#39;, &#39;posesimilarity&#39;]. (default:
-                        None)
+                        Decoders to be considered: [&#39;posesimilarity&#39;,
+                        &#39;cifcafdense&#39;, &#39;trackingpose&#39;, &#39;cifcaf&#39;, &#39;cifdet&#39;].
+                        (default: None)
   --seed-threshold SEED_THRESHOLD
                         minimum threshold for seeds (default: 0.2)
   --instance-threshold INSTANCE_THRESHOLD
@@ -629,9 +629,17 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --tr-minimum-threshold TR_MINIMUM_THRESHOLD
                         minimum-pose threshold for tracking. (default: 0.1)
 
+PoseSimilarity:
+  --posesimilarity-distance {crafted,euclidean,euclidean4,oks}
+  --posesimilarity-oks-inflate POSESIMILARITY_OKS_INFLATE
+
 CifCafDense decoder:
   --dense-connections [DENSE_CONNECTIONS]
 
+trackingpose decoder:
+  --trackingpose-track-recovery
+  --trackingpose-single-seed
+
 CifCaf decoder:
   --force-complete-pose
   --force-complete-caf-th FORCE_COMPLETE_CAF_TH
@@ -657,19 +665,36 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --ablation-caf-no-rescore
   --ablation-independent-kp
 
-trackingpose decoder:
-  --trackingpose-track-recovery
-  --trackingpose-single-seed
-
-PoseSimilarity:
-  --posesimilarity-distance {crafted,euclidean,euclidean4,oks}
-  --posesimilarity-oks-inflate POSESIMILARITY_OKS_INFLATE
-
 logger:
   -q, --quiet           only show warning messages or above (default: False)
   --debug               print debug messages (default: False)
   --log-stats           enable stats logging (default: False)
 
+XCiT:
+  --xcit-out-channels XCIT_OUT_CHANNELS
+                        number of output channels for optional projection
+                        layer (None for no projection layer) (default: None)
+  --xcit-out-maxpool    adds max-pooling to backbone output feature map
+                        (default: False)
+  --xcit-no-pretrain    use randomly initialized models (default: True)
+
+SwinTransformer:
+  --swin-drop-path-rate SWIN_DROP_PATH_RATE
+                        drop path (stochastic depth) rate (default: 0.2)
+  --swin-input-upsample
+                        scales input image by a factor of 2 for higher res
+                        feature maps (default: False)
+  --swin-use-fpn        adds a FPN after the Swin network to obtain higher res
+                        feature maps (default: False)
+  --swin-fpn-out-channels SWIN_FPN_OUT_CHANNELS
+                        output channels of the FPN (None to use the default
+                        number of channels of the Swin network) (default:
+                        None)
+  --swin-fpn-level SWIN_FPN_LEVEL
+                        FPN pyramid level, must be between 1 (highest
+                        resolution) and 4 (lowest resolution) (default: 3)
+  --swin-no-pretrain    use randomly initialized models (default: True)
+
 ShuffleNetv2:
   --shufflenetv2-no-pretrain
                         use randomly initialized models (default: True)
@@ -723,30 +748,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --hrformer-no-pretrain
                         use randomly initialized models (default: True)
 
-XCiT:
-  --xcit-out-channels XCIT_OUT_CHANNELS
-                        number of output channels for optional projection
-                        layer (None for no projection layer) (default: None)
-  --xcit-out-maxpool    adds max-pooling to backbone output feature map
-                        (default: False)
-  --xcit-no-pretrain    use randomly initialized models (default: True)
-
-SwinTransformer:
-  --swin-drop-path-rate SWIN_DROP_PATH_RATE
-                        drop path (stochastic depth) rate (default: 0.2)
-  --swin-input-upsample
-                        scales input image by a factor of 2 for higher res
-                        feature maps (default: False)
-  --swin-use-fpn        adds a FPN after the Swin network to obtain higher res
-                        feature maps (default: False)
-  --swin-fpn-out-channels SWIN_FPN_OUT_CHANNELS
-                        output channels of the FPN (None to use the default
-                        number of channels of the Swin network) (default:
-                        None)
-  --swin-fpn-level SWIN_FPN_LEVEL
-                        FPN pyramid level, must be between 1 (highest
-                        resolution) and 4 (lowest resolution) (default: 3)
-  --swin-no-pretrain    use randomly initialized models (default: True)
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
 
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
@@ -789,9 +793,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;effnetv2_l&#39;, &#39;effnetv2_xl&#39;, &#39;effnetv2_s16_s&#39;,
                         &#39;effnetv2_s16_m&#39;, &#39;effnetv2_s16_l&#39;, &#39;effnetv2_s16_xl&#39;,
                         &#39;botnet&#39;, &#39;hrformersmall&#39;, &#39;hrformersmallcat&#39;,
-                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;tshufflenetv2k16&#39;,
-                        &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;, &#39;cifar10net&#39;]
-                        (default: None)
+                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;convnextv2base&#39;,
+                        &#39;tshufflenetv2k16&#39;, &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;,
+                        &#39;cifar10net&#39;] (default: None)
   --cross-talk CROSS_TALK
                         [experimental] (default: 0.0)
   --no-download-progress
@@ -998,6 +1002,10 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --hrformer-no-pretrain
                         use randomly initialized models (default: True)
 
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -1039,9 +1047,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;effnetv2_l&#39;, &#39;effnetv2_xl&#39;, &#39;effnetv2_s16_s&#39;,
                         &#39;effnetv2_s16_m&#39;, &#39;effnetv2_s16_l&#39;, &#39;effnetv2_s16_xl&#39;,
                         &#39;botnet&#39;, &#39;hrformersmall&#39;, &#39;hrformersmallcat&#39;,
-                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;tshufflenetv2k16&#39;,
-                        &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;, &#39;cifar10net&#39;]
-                        (default: None)
+                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;convnextv2base&#39;,
+                        &#39;tshufflenetv2k16&#39;, &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;,
+                        &#39;cifar10net&#39;] (default: None)
   --cross-talk CROSS_TALK
                         [experimental] (default: 0.0)
   --no-download-progress
@@ -1054,7 +1062,7 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 decoder configuration:
   --decoder DECODER [DECODER ...]
                         Decoders to be considered: [&#39;posesimilarity&#39;,
-                        &#39;trackingpose&#39;, &#39;cifcafdense&#39;, &#39;cifdet&#39;, &#39;cifcaf&#39;].
+                        &#39;cifdet&#39;, &#39;trackingpose&#39;, &#39;cifcafdense&#39;, &#39;cifcaf&#39;].
                         (default: None)
   --seed-threshold SEED_THRESHOLD
                         minimum threshold for seeds (default: 0.2)
@@ -1327,6 +1335,10 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --hrformer-no-pretrain
                         use randomly initialized models (default: True)
 
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -1368,9 +1380,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;effnetv2_l&#39;, &#39;effnetv2_xl&#39;, &#39;effnetv2_s16_s&#39;,
                         &#39;effnetv2_s16_m&#39;, &#39;effnetv2_s16_l&#39;, &#39;effnetv2_s16_xl&#39;,
                         &#39;botnet&#39;, &#39;hrformersmall&#39;, &#39;hrformersmallcat&#39;,
-                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;tshufflenetv2k16&#39;,
-                        &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;, &#39;cifar10net&#39;]
-                        (default: None)
+                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;convnextv2base&#39;,
+                        &#39;tshufflenetv2k16&#39;, &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;,
+                        &#39;cifar10net&#39;] (default: None)
   --cross-talk CROSS_TALK
                         [experimental] (default: 0.0)
   --no-download-progress
@@ -1405,15 +1417,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --soft-clamp SOFT_CLAMP
                         soft clamp (default: 5.0)
 
-Scale Loss:
-  --b-scale B_SCALE     Laplace width b for scale loss (default: 1.0)
-  --scale-log
-  --scale-soft-clamp SCALE_SOFT_CLAMP
-                        soft clamp for scale (default: 5.0)
-
-Bce Loss:
-  --r-smooth R_SMOOTH   r_{smooth} for SmoothL1 regressions (default: 0.0)
-
 Laplace Loss:
   --laplace-soft-clamp LAPLACE_SOFT_CLAMP
                         soft clamp for Laplace (default: 5.0)
@@ -1434,6 +1437,15 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --bce-background-clamp BCE_BACKGROUND_CLAMP
                         background clamp for BCE (default: -15.0)
 
+Scale Loss:
+  --b-scale B_SCALE     Laplace width b for scale loss (default: 1.0)
+  --scale-log
+  --scale-soft-clamp SCALE_SOFT_CLAMP
+                        soft clamp for scale (default: 5.0)
+
+Bce Loss:
+  --r-smooth R_SMOOTH   r_{smooth} for SmoothL1 regressions (default: 0.0)
+
 trainer:
   --epochs EPOCHS       number of epochs to train (default: None)
   --train-batches TRAIN_BATCHES
@@ -2174,9 +2186,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 
 decoder configuration:
   --decoder DECODER [DECODER ...]
-                        Decoders to be considered: [&#39;cifcafdense&#39;, &#39;cifcaf&#39;,
-                        &#39;posesimilarity&#39;, &#39;trackingpose&#39;, &#39;cifdet&#39;]. (default:
-                        None)
+                        Decoders to be considered: [&#39;cifdet&#39;,
+                        &#39;posesimilarity&#39;, &#39;cifcafdense&#39;, &#39;trackingpose&#39;,
+                        &#39;cifcaf&#39;]. (default: None)
   --seed-threshold SEED_THRESHOLD
                         minimum threshold for seeds (default: 0.2)
   --instance-threshold INSTANCE_THRESHOLD
@@ -2203,9 +2215,17 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --tr-minimum-threshold TR_MINIMUM_THRESHOLD
                         minimum-pose threshold for tracking. (default: 0.1)
 
+PoseSimilarity:
+  --posesimilarity-distance {crafted,euclidean,euclidean4,oks}
+  --posesimilarity-oks-inflate POSESIMILARITY_OKS_INFLATE
+
 CifCafDense decoder:
   --dense-connections [DENSE_CONNECTIONS]
 
+trackingpose decoder:
+  --trackingpose-track-recovery
+  --trackingpose-single-seed
+
 CifCaf decoder:
   --force-complete-pose
   --force-complete-caf-th FORCE_COMPLETE_CAF_TH
@@ -2231,19 +2251,40 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --ablation-caf-no-rescore
   --ablation-independent-kp
 
-PoseSimilarity:
-  --posesimilarity-distance {crafted,euclidean,euclidean4,oks}
-  --posesimilarity-oks-inflate POSESIMILARITY_OKS_INFLATE
-
-trackingpose decoder:
-  --trackingpose-track-recovery
-  --trackingpose-single-seed
-
 logger:
   -q, --quiet           only show warning messages or above (default: False)
   --debug               print debug messages (default: False)
   --log-stats           enable stats logging (default: False)
 
+MobileNetV3:
+  --mobilenetv3-no-pretrain
+                        use randomly initialized models (default: True)
+
+ResNet:
+  --resnet-no-pretrain  use randomly initialized models (default: True)
+  --resnet-pool0-stride RESNET_POOL0_STRIDE
+                        stride of zero removes the pooling op (default: 0)
+  --resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
+                        stride of the input convolution (default: 2)
+  --resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
+                        stride of the optional 2nd input convolution (default:
+                        0)
+  --resnet-block5-dilation RESNET_BLOCK5_DILATION
+                        use dilated convs in block5 (default: 1)
+  --resnet-remove-last-block
+                        create a network without the last block (default:
+                        False)
+
+HRFormer:
+  --hrformer-scale-level HRFORMER_SCALE_LEVEL
+                        level of the HRFormer pyramid (default: 0)
+  --hrformer-no-pretrain
+                        use randomly initialized models (default: True)
+
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
 XCiT:
   --xcit-out-channels XCIT_OUT_CHANNELS
                         number of output channels for optional projection
@@ -2297,31 +2338,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --mobilenetv2-no-pretrain
                         use randomly initialized models (default: True)
 
-MobileNetV3:
-  --mobilenetv3-no-pretrain
-                        use randomly initialized models (default: True)
-
-ResNet:
-  --resnet-no-pretrain  use randomly initialized models (default: True)
-  --resnet-pool0-stride RESNET_POOL0_STRIDE
-                        stride of zero removes the pooling op (default: 0)
-  --resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
-                        stride of the input convolution (default: 2)
-  --resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
-                        stride of the optional 2nd input convolution (default:
-                        0)
-  --resnet-block5-dilation RESNET_BLOCK5_DILATION
-                        use dilated convs in block5 (default: 1)
-  --resnet-remove-last-block
-                        create a network without the last block (default:
-                        False)
-
-HRFormer:
-  --hrformer-scale-level HRFORMER_SCALE_LEVEL
-                        level of the HRFormer pyramid (default: 0)
-  --hrformer-no-pretrain
-                        use randomly initialized models (default: True)
-
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -2363,9 +2379,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;effnetv2_l&#39;, &#39;effnetv2_xl&#39;, &#39;effnetv2_s16_s&#39;,
                         &#39;effnetv2_s16_m&#39;, &#39;effnetv2_s16_l&#39;, &#39;effnetv2_s16_xl&#39;,
                         &#39;botnet&#39;, &#39;hrformersmall&#39;, &#39;hrformersmallcat&#39;,
-                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;tshufflenetv2k16&#39;,
-                        &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;, &#39;cifar10net&#39;]
-                        (default: None)
+                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;convnextv2base&#39;,
+                        &#39;tshufflenetv2k16&#39;, &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;,
+                        &#39;cifar10net&#39;] (default: None)
   --cross-talk CROSS_TALK
                         [experimental] (default: 0.0)
   --no-download-progress
@@ -2477,15 +2493,16 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                                          [--shufflenetv2k-instance-norm | --shufflenetv2k-group-norm]
                                          [--shufflenetv2k-leaky-relu]
                                          [--mobilenetv2-no-pretrain]
-                                         [--mobilenetv3-no-pretrain]
                                          [--resnet-no-pretrain]
                                          [--resnet-pool0-stride RESNET_POOL0_STRIDE]
                                          [--resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE]
                                          [--resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE]
                                          [--resnet-block5-dilation RESNET_BLOCK5_DILATION]
                                          [--resnet-remove-last-block]
+                                         [--mobilenetv3-no-pretrain]
                                          [--hrformer-scale-level HRFORMER_SCALE_LEVEL]
                                          [--hrformer-no-pretrain]
+                                         [--convnextv2-no-pretrain]
                                          [--cf4-dropout CF4_DROPOUT]
                                          [--cf4-no-inplace-ops]
                                          [--checkpoint CHECKPOINT]
@@ -2567,10 +2584,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --mobilenetv2-no-pretrain
                         use randomly initialized models (default: True)
 
-MobileNetV3:
-  --mobilenetv3-no-pretrain
-                        use randomly initialized models (default: True)
-
 ResNet:
   --resnet-no-pretrain  use randomly initialized models (default: True)
   --resnet-pool0-stride RESNET_POOL0_STRIDE
@@ -2586,12 +2599,20 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         create a network without the last block (default:
                         False)
 
+MobileNetV3:
+  --mobilenetv3-no-pretrain
+                        use randomly initialized models (default: True)
+
 HRFormer:
   --hrformer-scale-level HRFORMER_SCALE_LEVEL
                         level of the HRFormer pyramid (default: 0)
   --hrformer-no-pretrain
                         use randomly initialized models (default: True)
 
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -2633,9 +2654,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;effnetv2_l&#39;, &#39;effnetv2_xl&#39;, &#39;effnetv2_s16_s&#39;,
                         &#39;effnetv2_s16_m&#39;, &#39;effnetv2_s16_l&#39;, &#39;effnetv2_s16_xl&#39;,
                         &#39;botnet&#39;, &#39;hrformersmall&#39;, &#39;hrformersmallcat&#39;,
-                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;tshufflenetv2k16&#39;,
-                        &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;, &#39;cifar10net&#39;]
-                        (default: None)
+                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;convnextv2base&#39;,
+                        &#39;tshufflenetv2k16&#39;, &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;,
+                        &#39;cifar10net&#39;] (default: None)
   --cross-talk CROSS_TALK
                         [experimental] (default: 0.0)
   --no-download-progress
@@ -2660,9 +2681,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>usage: python3 -m openpifpaf.export_coreml [-h] [--version]
-                                           [--xcit-out-channels XCIT_OUT_CHANNELS]
-                                           [--xcit-out-maxpool]
-                                           [--xcit-no-pretrain]
                                            [--swin-drop-path-rate SWIN_DROP_PATH_RATE]
                                            [--swin-input-upsample]
                                            [--swin-use-fpn]
@@ -2679,15 +2697,19 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                                            [--shufflenetv2k-instance-norm | --shufflenetv2k-group-norm]
                                            [--shufflenetv2k-leaky-relu]
                                            [--mobilenetv2-no-pretrain]
-                                           [--mobilenetv3-no-pretrain]
                                            [--resnet-no-pretrain]
                                            [--resnet-pool0-stride RESNET_POOL0_STRIDE]
                                            [--resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE]
                                            [--resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE]
                                            [--resnet-block5-dilation RESNET_BLOCK5_DILATION]
                                            [--resnet-remove-last-block]
+                                           [--mobilenetv3-no-pretrain]
                                            [--hrformer-scale-level HRFORMER_SCALE_LEVEL]
                                            [--hrformer-no-pretrain]
+                                           [--convnextv2-no-pretrain]
+                                           [--xcit-out-channels XCIT_OUT_CHANNELS]
+                                           [--xcit-out-maxpool]
+                                           [--xcit-no-pretrain]
                                            [--cf4-dropout CF4_DROPOUT]
                                            [--cf4-no-inplace-ops]
                                            [--checkpoint CHECKPOINT]
@@ -2710,14 +2732,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --input-height INPUT_HEIGHT
   --minimum-deployment-target {iOS13,iOS14}
 
-XCiT:
-  --xcit-out-channels XCIT_OUT_CHANNELS
-                        number of output channels for optional projection
-                        layer (None for no projection layer) (default: None)
-  --xcit-out-maxpool    adds max-pooling to backbone output feature map
-                        (default: False)
-  --xcit-no-pretrain    use randomly initialized models (default: True)
-
 SwinTransformer:
   --swin-drop-path-rate SWIN_DROP_PATH_RATE
                         drop path (stochastic depth) rate (default: 0.2)
@@ -2763,10 +2777,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --mobilenetv2-no-pretrain
                         use randomly initialized models (default: True)
 
-MobileNetV3:
-  --mobilenetv3-no-pretrain
-                        use randomly initialized models (default: True)
-
 ResNet:
   --resnet-no-pretrain  use randomly initialized models (default: True)
   --resnet-pool0-stride RESNET_POOL0_STRIDE
@@ -2782,12 +2792,28 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         create a network without the last block (default:
                         False)
 
+MobileNetV3:
+  --mobilenetv3-no-pretrain
+                        use randomly initialized models (default: True)
+
 HRFormer:
   --hrformer-scale-level HRFORMER_SCALE_LEVEL
                         level of the HRFormer pyramid (default: 0)
   --hrformer-no-pretrain
                         use randomly initialized models (default: True)
 
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
+XCiT:
+  --xcit-out-channels XCIT_OUT_CHANNELS
+                        number of output channels for optional projection
+                        layer (None for no projection layer) (default: None)
+  --xcit-out-maxpool    adds max-pooling to backbone output feature map
+                        (default: False)
+  --xcit-no-pretrain    use randomly initialized models (default: True)
+
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -2829,9 +2855,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;effnetv2_l&#39;, &#39;effnetv2_xl&#39;, &#39;effnetv2_s16_s&#39;,
                         &#39;effnetv2_s16_m&#39;, &#39;effnetv2_s16_l&#39;, &#39;effnetv2_s16_xl&#39;,
                         &#39;botnet&#39;, &#39;hrformersmall&#39;, &#39;hrformersmallcat&#39;,
-                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;tshufflenetv2k16&#39;,
-                        &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;, &#39;cifar10net&#39;]
-                        (default: None)
+                        &#39;hrformerbase&#39;, &#39;hrformerbasecat&#39;, &#39;convnextv2base&#39;,
+                        &#39;tshufflenetv2k16&#39;, &#39;tshufflenetv2k30&#39;, &#39;tresnet50&#39;,
+                        &#39;cifar10net&#39;] (default: None)
   --cross-talk CROSS_TALK
                         [experimental] (default: 0.0)
   --no-download-progress
diff --git a/dev/dev.html b/dev/dev.html
index 49f2f2b6f..7775eb6ac 100644
--- a/dev/dev.html
+++ b/dev/dev.html
@@ -662,8 +662,8 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
 charset-normalizer==2.1.1
 click==8.1.7
 colorama==0.4.6
-comm==0.1.4
-contourpy==1.1.1
+comm==0.2.0
+contourpy==1.2.0
 coverage==7.3.2
 cpplint==1.6.1
 cycler==0.12.1
@@ -676,7 +676,7 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
 fastjsonschema==2.18.1
 filelock==3.9.0
 flameprof==0.4
-fonttools==4.43.1
+fonttools==4.44.0
 fqdn==1.5.1
 fsspec==2023.4.0
 gitdb==4.0.11
@@ -703,9 +703,9 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
 jupyter-lsp==2.2.0
 jupyter-server-mathjax==0.2.6
 jupyter-sphinx==0.3.2
-jupyter_client==8.5.0
+jupyter_client==8.6.0
 jupyter_core==5.5.0
-jupyter_server==2.9.1
+jupyter_server==2.10.0
 jupyter_server_terminals==0.4.4
 jupyterlab==4.0.8
 jupyterlab-pygments==0.2.2
@@ -717,7 +717,7 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
 linkify-it-py==2.0.2
 lxml==4.9.3
 markdown-it-py==1.1.0
-MarkupSafe==2.1.2
+MarkupSafe==2.1.3
 matplotlib==3.8.1
 matplotlib-inline==0.1.6
 mccabe==0.6.1
@@ -746,10 +746,10 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
 pexpect==4.8.0
 pickleshare==0.7.5
 Pillow==9.3.0
-platformdirs==3.11.0
+platformdirs==4.0.0
 pluggy==1.3.0
 prometheus-client==0.18.0
-prompt-toolkit==3.0.39
+prompt-toolkit==3.0.40
 psutil==5.9.6
 ptyprocess==0.7.0
 pybtex==0.24.0
@@ -798,7 +798,7 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
 SQLAlchemy==1.4.50
 sympy==1.12
 tabulate==0.9.0
-terminado==0.17.1
+terminado==0.18.0
 thop==0.1.1.post2209072238
 tinycss2==1.2.1
 toml==0.10.2
@@ -831,7 +831,7 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>OpenPifPaf 0.14.1+3.g59cfea9
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>OpenPifPaf 0.14.1+4.g480c01e
 </pre></div>
 </div>
 </div>
@@ -854,7 +854,9 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
   libswscale      7.  1.100 /  7.  1.100
   libswresample   4. 10.100 /  4. 10.100
   libpostproc    57.  1.100 / 57.  1.100
-Codecs:
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Codecs:
  D..... = Decoding supported
  .E.... = Encoding supported
  ..V... = Video codec
diff --git a/dev/models.html b/dev/models.html
index e08d7f960..47f8bd9ab 100644
--- a/dev/models.html
+++ b/dev/models.html
@@ -590,6 +590,7 @@ <h2>Base Networks<a class="headerlink" href="#base-networks" title="Permalink to
  &#39;hrformersmallcat&#39;,
  &#39;hrformerbase&#39;,
  &#39;hrformerbasecat&#39;,
+ &#39;convnextv2base&#39;,
  &#39;tshufflenetv2k16&#39;,
  &#39;tshufflenetv2k30&#39;,
  &#39;tresnet50&#39;,
diff --git a/dev/performance.html b/dev/performance.html
index d5eca1b6c..2bea24383 100644
--- a/dev/performance.html
+++ b/dev/performance.html
@@ -794,111 +794,111 @@ <h2>Profile Decoder<a class="headerlink" href="#profile-decoder" title="Permalin
 DEBUG:openpifpaf.transforms.pad:valid area before pad: [  0.   0. 639. 426.], image size = (640, 427)
 DEBUG:openpifpaf.transforms.pad:pad with (0, 3, 1, 3)
 DEBUG:openpifpaf.transforms.pad:valid area after pad: [  0.   3. 639. 426.], image size = (641, 433)
-DEBUG:openpifpaf.decoder.decoder:nn processing time: 502.7ms
-DEBUG:openpifpaf.decoder.decoder:parallel execution with worker &lt;openpifpaf.decoder.decoder.DummyPool object at 0x7f559e81fdc0&gt;
+DEBUG:openpifpaf.decoder.decoder:nn processing time: 538.7ms
+DEBUG:openpifpaf.decoder.decoder:parallel execution with worker &lt;openpifpaf.decoder.decoder.DummyPool object at 0x7f8180e1fdc0&gt;
 DEBUG:openpifpaf.decoder.multi:task 0
-DEBUG:openpifpaf.decoder.cifcaf:cpp annotations = 5 (15.6ms)
+DEBUG:openpifpaf.decoder.cifcaf:cpp annotations = 5 (16.2ms)
 INFO:openpifpaf.decoder.cifcaf:annotations 5: [16, 14, 13, 12, 12]
 INFO:openpifpaf.profiler:writing profile file profile_decoder.prof
-         386 function calls in 0.017 seconds
+         386 function calls in 0.018 seconds
 
    Ordered by: internal time
 
    ncalls  tottime  percall  cumtime  percall filename:lineno(function)
-        1    0.016    0.016    0.017    0.017 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:224(__call__)
-        2    0.000    0.000    0.000    0.000 {method &#39;flush&#39; of &#39;_io.TextIOWrapper&#39; objects}
+        1    0.017    0.017    0.018    0.018 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:224(__call__)
         5    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/annotation.py:17(__init__)
+        2    0.000    0.000    0.000    0.000 {method &#39;flush&#39; of &#39;_io.TextIOWrapper&#39; objects}
        15    0.000    0.000    0.000    0.000 {method &#39;numpy&#39; of &#39;torch._C._TensorBase&#39; objects}
        10    0.000    0.000    0.000    0.000 {method &#39;reduce&#39; of &#39;numpy.ufunc&#39; objects}
        10    0.000    0.000    0.000    0.000 {built-in method numpy.asarray}
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:283(__init__)
         1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/visualizer/cif.py:47(predicted)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:283(__init__)
        10    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/core/fromnumeric.py:69(_wrapreduction)
-        1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/visualizer/caf.py:47(predicted)
-        1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:276(&lt;listcomp&gt;)
         2    0.000    0.000    0.000    0.000 {method &#39;unbind&#39; of &#39;torch._C._TensorBase&#39; objects}
+        1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:276(&lt;listcomp&gt;)
+        1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/visualizer/caf.py:47(predicted)
        15    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:1026(__array__)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:359(getMessage)
        10    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/core/fromnumeric.py:2188(sum)
-        1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:964(__len__)
         5    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/visualizer/base.py:114(indices)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1724(isEnabledFor)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1549(findCaller)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:359(getMessage)
+        1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:964(__len__)
        10    0.000    0.000    0.000    0.000 {built-in method numpy.zeros}
-       10    0.000    0.000    0.000    0.000 &lt;__array_function__ internals&gt;:177(sum)
-        5    0.000    0.000    0.000    0.000 {method &#39;tolist&#39; of &#39;numpy.ndarray&#39; objects}
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:219(_acquireLock)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1549(findCaller)
        24    0.000    0.000    0.000    0.000 {built-in method builtins.len}
+        5    0.000    0.000    0.000    0.000 {method &#39;tolist&#39; of &#39;numpy.ndarray&#39; objects}
+       10    0.000    0.000    0.000    0.000 &lt;__array_function__ internals&gt;:177(sum)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1680(callHandlers)
-       10    0.000    0.000    0.000    0.000 {built-in method numpy.core._multiarray_umath.implement_array_function}
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1088(emit)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:980(__iter__)
+       10    0.000    0.000    0.000    0.000 {built-in method numpy.core._multiarray_umath.implement_array_function}
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1600(_log)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:980(__iter__)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/posixpath.py:140(basename)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1077(flush)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:665(format)
        10    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/core/fromnumeric.py:70(&lt;dictcomp&gt;)
+       19    0.000    0.000    0.000    0.000 {built-in method builtins.isinstance}
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:955(handle)
         1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1455(debug)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1585(makeRecord)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/posixpath.py:117(splitext)
-       19    0.000    0.000    0.000    0.000 {built-in method builtins.isinstance}
-       16    0.000    0.000    0.000    0.000 {built-in method torch._C._has_torch_function_unary}
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1077(flush)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:423(usesTime)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:665(format)
        15    0.000    0.000    0.000    0.000 {method &#39;astype&#39; of &#39;numpy.ndarray&#39; objects}
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/genericpath.py:121(_splitext)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/posixpath.py:117(splitext)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:431(_format)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1585(makeRecord)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/genericpath.py:121(_splitext)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:219(_acquireLock)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1626(handle)
+       16    0.000    0.000    0.000    0.000 {built-in method torch._C._has_torch_function_unary}
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/posixpath.py:52(normcase)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:160(&lt;lambda&gt;)
         3    0.000    0.000    0.000    0.000 {built-in method torch._C._get_tracing_state}
         6    0.000    0.000    0.000    0.000 {method &#39;acquire&#39; of &#39;_thread.RLock&#39; objects}
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:119(getLevelName)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1626(handle)
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 INFO:openpifpaf.network.trainer:applying ema
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 INFO:openpifpaf.network.trainer:model written: cifar10_tutorial.pkl.epoch003
 INFO:openpifpaf.network.trainer:training state written: cifar10_tutorial.pkl.optim.epoch003
-INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;val-epoch&#39;, &#39;epoch&#39;: 3, &#39;loss&#39;: -10.78551, &#39;head_losses&#39;: [-10.61978, -0.16573, 0.0], &#39;time&#39;: 11.3}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;val-epoch&#39;, &#39;epoch&#39;: 3, &#39;loss&#39;: -10.86862, &#39;head_losses&#39;: [-10.68689, -0.18173, 0.0], &#39;time&#39;: 13.7}
 </pre></div>
 </div>
 </div>
@@ -873,7 +873,7 @@ <h2>Plot Training Logs<a class="headerlink" href="#plot-training-logs" title="Pe
 <img alt="_images/plugins_cifar10_12_6.png" src="_images/plugins_cifar10_12_6.png" />
 <img alt="_images/plugins_cifar10_12_7.png" src="_images/plugins_cifar10_12_7.png" />
 <img alt="_images/plugins_cifar10_12_8.png" src="_images/plugins_cifar10_12_8.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>cifar10_tutorial.pkl.log: {&#39;message&#39;: &#39;&#39;, &#39;levelname&#39;: &#39;INFO&#39;, &#39;name&#39;: &#39;openpifpaf.network.trainer&#39;, &#39;asctime&#39;: &#39;2023-11-03 11:48:13,532&#39;, &#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 3100, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.019, &#39;data_time&#39;: 0.006, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -10.765, &#39;head_losses&#39;: [-10.596, -0.169, 0.0]}
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>cifar10_tutorial.pkl.log: {&#39;message&#39;: &#39;&#39;, &#39;levelname&#39;: &#39;INFO&#39;, &#39;name&#39;: &#39;openpifpaf.network.trainer&#39;, &#39;asctime&#39;: &#39;2023-11-13 15:04:03,460&#39;, &#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 3100, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.024, &#39;data_time&#39;: 0.002, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -10.797, &#39;head_losses&#39;: [-10.609, -0.188, 0.0]}
 </pre></div>
 </div>
 </div>
@@ -903,7 +903,7 @@ <h2>Prediction<a class="headerlink" href="#prediction" title="Permalink to this
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[{&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.397, &quot;bbox&quot;: [4.95, 5.01, 20.9, 20.99]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.372, &quot;bbox&quot;: [4.99, 5.03, 20.98, 21.03]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.321, &quot;bbox&quot;: [4.96, 5.09, 21.05, 21.1]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.247, &quot;bbox&quot;: [4.96, 4.99, 20.97, 21.03]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.226, &quot;bbox&quot;: [4.88, 4.89, 21.07, 21.06]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.22, &quot;bbox&quot;: [5.0, 5.04, 21.0, 21.02]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.198, &quot;bbox&quot;: [4.92, 4.98, 21.01, 21.08]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.175, &quot;bbox&quot;: [5.01, 4.98, 20.97, 20.95]}, {&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.151, &quot;bbox&quot;: [4.99, 5.03, 21.07, 20.98]}][{&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.496, &quot;bbox&quot;: [4.78, 4.89, 21.19, 21.09]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.487, &quot;bbox&quot;: [4.84, 4.71, 20.96, 21.19]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.253, &quot;bbox&quot;: [4.91, 4.95, 20.95, 21.06]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.175, &quot;bbox&quot;: [4.97, 5.1, 21.03, 21.01]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.155, &quot;bbox&quot;: [5.0, 4.9, 21.01, 21.03]}][{&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.356, &quot;bbox&quot;: [5.03, 5.01, 20.97, 20.98]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.344, &quot;bbox&quot;: [5.01, 5.03, 20.91, 20.95]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.322, &quot;bbox&quot;: [5.04, 4.94, 21.0, 20.98]}, {&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.319, &quot;bbox&quot;: [4.93, 4.9, 20.9, 20.95]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.215, &quot;bbox&quot;: [5.08, 5.27, 20.98, 20.91]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.197, &quot;bbox&quot;: [5.11, 5.07, 21.03, 20.99]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.184, &quot;bbox&quot;: [4.97, 5.27, 20.89, 20.91]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.154, &quot;bbox&quot;: [5.08, 5.05, 21.07, 20.98]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.153, &quot;bbox&quot;: [5.14, 5.08, 21.01, 21.02]}][{&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.377, &quot;bbox&quot;: [5.13, 5.13, 21.07, 20.94]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.328, &quot;bbox&quot;: [5.02, 4.8, 20.97, 21.04]}, {&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.317, &quot;bbox&quot;: [4.97, 4.94, 21.01, 20.99]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.296, &quot;bbox&quot;: [4.88, 5.01, 20.95, 20.98]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.279, &quot;bbox&quot;: [5.01, 4.77, 21.02, 21.05]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.275, &quot;bbox&quot;: [5.02, 5.04, 20.91, 21.03]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.265, &quot;bbox&quot;: [4.97, 5.01, 21.01, 21.02]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.246, &quot;bbox&quot;: [5.02, 4.83, 20.91, 21.01]}, {&quot;category_id&quot;: 7, &quot;category&quot;: &quot;frog&quot;, &quot;score&quot;: 0.224, &quot;bbox&quot;: [5.13, 5.0, 21.01, 20.94]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.185, &quot;bbox&quot;: [5.08, 4.77, 20.97, 21.03]}]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[{&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.406, &quot;bbox&quot;: [4.89, 5.03, 21.01, 20.92]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.379, &quot;bbox&quot;: [4.98, 5.0, 20.99, 21.02]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.328, &quot;bbox&quot;: [4.95, 5.03, 21.03, 20.98]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.253, &quot;bbox&quot;: [4.92, 4.96, 21.0, 21.06]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.219, &quot;bbox&quot;: [4.83, 5.03, 21.09, 21.01]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.211, &quot;bbox&quot;: [4.98, 4.96, 21.08, 21.03]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.199, &quot;bbox&quot;: [5.01, 5.06, 21.0, 20.96]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.166, &quot;bbox&quot;: [4.88, 4.97, 21.01, 21.09]}][{&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.489, &quot;bbox&quot;: [5.31, 5.1, 20.91, 20.94]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.477, &quot;bbox&quot;: [5.18, 5.0, 20.99, 20.97]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.237, &quot;bbox&quot;: [5.03, 5.11, 21.01, 20.92]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.182, &quot;bbox&quot;: [5.06, 5.1, 20.95, 20.96]}][{&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.348, &quot;bbox&quot;: [4.87, 4.92, 20.95, 20.97]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.336, &quot;bbox&quot;: [4.85, 4.84, 20.99, 20.98]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.293, &quot;bbox&quot;: [4.94, 4.91, 21.0, 21.04]}, {&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.275, &quot;bbox&quot;: [4.94, 4.94, 20.98, 21.01]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.259, &quot;bbox&quot;: [5.03, 5.01, 20.9, 21.0]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.202, &quot;bbox&quot;: [4.99, 5.11, 20.97, 20.95]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.188, &quot;bbox&quot;: [5.04, 4.92, 20.92, 21.07]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.174, &quot;bbox&quot;: [4.96, 5.05, 20.96, 20.99]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.172, &quot;bbox&quot;: [5.0, 5.07, 20.97, 21.0]}][{&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.374, &quot;bbox&quot;: [5.06, 4.96, 20.9, 20.92]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.349, &quot;bbox&quot;: [5.11, 4.8, 21.0, 21.03]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.301, &quot;bbox&quot;: [5.06, 4.75, 21.02, 20.97]}, {&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.298, &quot;bbox&quot;: [5.12, 5.02, 20.96, 20.94]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.277, &quot;bbox&quot;: [4.98, 4.96, 20.98, 21.05]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.26, &quot;bbox&quot;: [5.01, 4.97, 21.02, 21.01]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.239, &quot;bbox&quot;: [5.0, 5.0, 21.02, 20.96]}, {&quot;category_id&quot;: 7, &quot;category&quot;: &quot;frog&quot;, &quot;score&quot;: 0.224, &quot;bbox&quot;: [4.98, 4.98, 21.1, 20.96]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.219, &quot;bbox&quot;: [5.13, 4.99, 20.99, 20.98]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.193, &quot;bbox&quot;: [5.04, 5.01, 21.0, 21.01]}]
 </pre></div>
 </div>
 </div>
@@ -935,19 +935,19 @@ <h2>Prediction<a class="headerlink" href="#prediction" title="Permalink to this
 </div>
 <div class="cell_output docutils container">
 <img alt="_images/plugins_cifar10_17_0.png" src="_images/plugins_cifar10_17_0.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;plane 40%&#39;, &#39;ship 37%&#39;, &#39;bird 32%&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;plane 41%&#39;, &#39;ship 38%&#39;, &#39;bird 33%&#39;]
 </pre></div>
 </div>
 <img alt="_images/plugins_cifar10_17_2.png" src="_images/plugins_cifar10_17_2.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;car 50%&#39;, &#39;truck 49%&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;car 49%&#39;, &#39;truck 48%&#39;]
 </pre></div>
 </div>
 <img alt="_images/plugins_cifar10_17_4.png" src="_images/plugins_cifar10_17_4.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;ship 36%&#39;, &#39;plane 34%&#39;, &#39;truck 32%&#39;, &#39;car 32%&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;ship 35%&#39;, &#39;plane 34%&#39;]
 </pre></div>
 </div>
 <img alt="_images/plugins_cifar10_17_6.png" src="_images/plugins_cifar10_17_6.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;truck 38%&#39;, &#39;horse 33%&#39;, &#39;car 32%&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;truck 37%&#39;, &#39;horse 35%&#39;, &#39;cat 30%&#39;]
 </pre></div>
 </div>
 </div>
@@ -994,17 +994,17 @@ <h2>Evaluation<a class="headerlink" href="#evaluation" title="Permalink to this
         &quot;truck&quot;
     ],
     &quot;stats&quot;: [
-        0.4131,
-        0.432,
+        0.4312,
+        0.5,
         0.656,
-        0.159,
-        0.31,
-        0.372,
-        0.273,
-        0.434,
-        0.503,
-        0.571,
-        0.421
+        0.175,
+        0.387,
+        0.329,
+        0.29,
+        0.539,
+        0.49,
+        0.487,
+        0.459
     ],
     &quot;args&quot;: [
         &quot;/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/eval.py&quot;,
@@ -1015,9 +1015,9 @@ <h2>Evaluation<a class="headerlink" href="#evaluation" title="Permalink to this
         &quot;--instance-threshold=0.1&quot;,
         &quot;--quiet&quot;
     ],
-    &quot;version&quot;: &quot;0.14.1+3.g59cfea9&quot;,
+    &quot;version&quot;: &quot;0.14.1+4.g480c01e&quot;,
     &quot;dataset&quot;: &quot;cifar10&quot;,
-    &quot;total_time&quot;: 32.86489571799996,
+    &quot;total_time&quot;: 36.57557180599997,
     &quot;checkpoint&quot;: &quot;cifar10_tutorial.pkl.epoch003&quot;,
     &quot;count_ops&quot;: [
         421736880.0,
@@ -1025,8 +1025,8 @@ <h2>Evaluation<a class="headerlink" href="#evaluation" title="Permalink to this
     ],
     &quot;file_size&quot;: 438830,
     &quot;n_images&quot;: 10000,
-    &quot;decoder_time&quot;: 8.676635590999012,
-    &quot;nn_time&quot;: 7.199825102996442
+    &quot;decoder_time&quot;: 9.348166172995207,
+    &quot;nn_time&quot;: 15.768658076001884
 }
 </pre></div>
 </div>
diff --git a/dev/plugins_nuscenes.html b/dev/plugins_nuscenes.html
index 302a74f42..02a409091 100644
--- a/dev/plugins_nuscenes.html
+++ b/dev/plugins_nuscenes.html
@@ -544,7 +544,7 @@ <h2>Prediction<a class="headerlink" href="#prediction" title="Permalink to this
 INFO:__main__:Running Python 3.10.13
 INFO:__main__:Running PyTorch 2.1.0+cpu
 INFO:openpifpaf.predictor:neural network device: cpu (CUDA available: False, count: 0)
-INFO:openpifpaf.decoder.cifdet:annotations 3, decoder = 17.2ms
+INFO:openpifpaf.decoder.cifdet:annotations 3, decoder = 19.8ms
 INFO:openpifpaf.predictor:batch 0: nuscenes/n013-2018-08-28-10-41-15+0800__CAM_FRONT__1535424448912407.jpg
 /home/runner/work/openpifpaf/openpifpaf/src/openpifpaf/csrc/src/cif_hr.cpp:102: UserInfo: resizing cifhr buffer
 /home/runner/work/openpifpaf/openpifpaf/src/openpifpaf/csrc/src/occupancy.cpp:53: UserInfo: resizing occupancy buffer
diff --git a/dev/plugins_overview.html b/dev/plugins_overview.html
index 5d13d1015..3604f324e 100644
--- a/dev/plugins_overview.html
+++ b/dev/plugins_overview.html
@@ -573,7 +573,8 @@ <h2>Registrations<a class="headerlink" href="#registrations" title="Permalink to
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{openpifpaf.network.basenetworks.EffNetV2,
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{openpifpaf.network.basenetworks.ConvNeXtV2,
+ openpifpaf.network.basenetworks.EffNetV2,
  openpifpaf.network.basenetworks.HRFormer,
  openpifpaf.network.basenetworks.MobileNetV2,
  openpifpaf.network.basenetworks.MobileNetV3,
@@ -646,6 +647,7 @@ <h2>Registrations<a class="headerlink" href="#registrations" title="Permalink to
  &#39;hrformersmallcat&#39;: &lt;function openpifpaf.network.factory.&lt;lambda&gt;()&gt;,
  &#39;hrformerbase&#39;: &lt;function openpifpaf.network.factory.&lt;lambda&gt;()&gt;,
  &#39;hrformerbasecat&#39;: &lt;function openpifpaf.network.factory.&lt;lambda&gt;()&gt;,
+ &#39;convnextv2base&#39;: &lt;function openpifpaf.network.factory.&lt;lambda&gt;()&gt;,
  &#39;tshufflenetv2k16&#39;: &lt;function openpifpaf.network.factory.&lt;lambda&gt;()&gt;,
  &#39;tshufflenetv2k30&#39;: &lt;function openpifpaf.network.factory.&lt;lambda&gt;()&gt;,
  &#39;tresnet50&#39;: &lt;function openpifpaf.network.factory.&lt;lambda&gt;()&gt;,
@@ -717,16 +719,16 @@ <h2>Registrations<a class="headerlink" href="#registrations" title="Permalink to
  &#39;mobilenetv2&#39;: &#39;http://github.com/vita-epfl/openpifpaf-torchhub/releases/download/v0.12a5/mobilenetv2-201112-193315-cocokp-1728a9f5.pkl&#39;,
  &#39;mobilenetv3small&#39;: &#39;http://github.com/openpifpaf/torchhub/releases/download/v0.13/mobilenetv3small-210822-213409-cocokp-slurm726252-edge513-o10s-803b24ae.pkl&#39;,
  &#39;mobilenetv3large&#39;: &#39;http://github.com/openpifpaf/torchhub/releases/download/v0.13/mobilenetv3large-210820-184901-cocokp-slurm725985-edge513-o10s-6c76cbfb.pkl&#39;,
- &#39;resnet18&#39;: &lt;object at 0x7fa593320570&gt;,
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index f3d13b635..19f22d719 100644
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 DEBUG:openpifpaf.visualizer.base:cif: indices = []
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diff --git a/dev/train.html b/dev/train.html
index 7663e102f..ba36c61e4 100644
--- a/dev/train.html
+++ b/dev/train.html
@@ -773,8 +773,8 @@ <h2>ShuffleNet<a class="headerlink" href="#shufflenet" title="Permalink to this
 We found that for stable training, the learning rate <span class="math notranslate nohighlight">\(\lambda\)</span>,
 the <code class="docutils literal notranslate"><span class="pre">clip-grad-value</span></code> <span class="math notranslate nohighlight">\(c\)</span> and the <span class="math notranslate nohighlight">\(\epsilon\)</span> from the denominator of the
 BatchNorm should obey:</p>
-<div class="amsmath math notranslate nohighlight" id="equation-a61e375b-1b86-4a3a-a6e2-fc6b5aded9a9">
-<span class="eqno">(1)<a class="headerlink" href="#equation-a61e375b-1b86-4a3a-a6e2-fc6b5aded9a9" title="Permalink to this equation">#</a></span>\[\begin{align}
+<div class="amsmath math notranslate nohighlight" id="equation-dff2d65d-e876-4841-bd28-f76d0d2d2557">
+<span class="eqno">(1)<a class="headerlink" href="#equation-dff2d65d-e876-4841-bd28-f76d0d2d2557" title="Permalink to this equation">#</a></span>\[\begin{align}
     \lambda \cdot c &amp;\leq \sqrt{\epsilon}
 \end{align}\]</div>
 <p>where the default <span class="math notranslate nohighlight">\(\epsilon\)</span> is <span class="math notranslate nohighlight">\(10^{-4}\)</span> (different from the PyTorch default).