VoVNet-DeepLabV3

I use the vovnet27 as the backbone to extract features, at the same time,Jpu is used to get more semantic information that combine with vovnet27.

Detectron with VoVNet : select the vovnet branch

Detectron with VoVNet(CVPRW'19) backbone networks

FCOS with VoVNet(CVPRW'19) backbone networks

A pytorch implementation of VoVNet

VoVNet backbone Networks, CVPR2019, CEFRL

[CVPR 2020] CenterMask : Real-Time Anchor-Free Instance Segmentation

VoVNet, MobileNet, ShuffleNet, HarDNet, GhostNet, EfficientNet backbone networks and SKU-110K dataset for detectron2

Efficient 3D Backbone Network for Temporal Modeling

VoVNet V2 implementation and checkpoints

[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation

[CVPR 2020] VoVNet backbone networks for detectron2

Toolbox for vision tasks. Pre-trained vision backbones on ImageNet with PyTorch Lightning 🚀

⭐⭐⭐ Pytorch implementation of Attentiom, Backbone, ViT, MLP, Re-parameter, Convolution, very flexible module combination.

Deep Neural Network Architectures with dlib

[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".