Lite version of the following Oxford project: Large-scale Video Classification with Convolutional Neural Networks
Label ID |
Label Name |
398 |
rugby |
300 |
formula racing |
361 |
beach volleyball |
368 |
basketball |
415 |
karate |
277 |
motocross |
111 |
kitesurfing |
269 |
motorcycle racing |
258 |
horse racing |
200 |
bodybuilding |
- Single Frame
![](/zuliani99/VideoClassification-CNN/raw/main/multiclass_results/singleframe.png)
- Single Frame Context
![](/zuliani99/VideoClassification-CNN/raw/main/multiclass_results/singleframe_context.png)
- Single Frame Fovea
![](/zuliani99/VideoClassification-CNN/raw/main/multiclass_results/singleframe_fovea.png)
- Single Frame Multiresolution
![](/zuliani99/VideoClassification-CNN/raw/main/multiclass_results/singleframe_multiresolution.png)
- Multi Frame Early Fusion
![](/zuliani99/VideoClassification-CNN/raw/main/multiclass_results/multiframe_earlyfusion.png)
- Multi Frame Late Fusion
![](/zuliani99/VideoClassification-CNN/raw/main/multiclass_results/multiframe_latefusion.png)
- Multi Frame Slow Fusion
![](/zuliani99/VideoClassification-CNN/raw/main/multiclass_results/multiframe_slowfusion.png)
Model Name |
Test Loss |
Test Accuracy Score |
Testing Time in minutes |
Training Time in hours |
SingleResCNN-Stream_Type_None |
0.96767 |
0.71325 |
0.37903 |
1.53495 |
SingleResCNN-Stream_Type_fovea |
1.26127 |
0.58379 |
0.17914 |
1.20548 |
SingleResCNN-Stream_Type_context |
1.17831 |
0.65533 |
0.16217 |
1.16977 |
MultiResCNN |
1.12028 |
0.63378 |
0.13316 |
1.52294 |
LateFusionCNN |
1.05671 |
0.69669 |
0.37975 |
3.01682 |
EarlyFusionCNN |
1.08308 |
0.67226 |
0.67731 |
3.79941 |
SlowFusionCNN |
1.27412 |
0.6623 |
1.42234 |
7.80681 |