Fine-grained Video Categorization on YouTube Cars (test)
79.77Top-1 AccMARL
Evaluation Results
| Method | Links | |
|---|---|---|
| MARLBackbone=Inception-V3, Variant=Ours2019.07 | 79.77 | |
| RRABackbone=Inception-V32018.10 | 77.625 | |
| RRABackbone=Inception-V32019.07 | 77.625 | |
| MARLBackbone=Inception-V3, Variant=All2019.07 | 76.99 | |
| MARLBackbone=Inception-V3, Variant=U252019.07 | 76.49 | |
| TSNBackbone=Inception-V3, Implementation=Official PyTorch2018.10 | 74.34 | |
| TSNBackbone=BN-Inception2019.07 | 74.34 | |
| BN-InceptionBackbone=BN-Inception, Testing Protocol=middle frame2018.10 | 61.96 | |
| BN-InceptionBackbone=BN-Inception2019.07 | 61.96 | |
| I3D (Res50)Backbone=ResNet-50, Testing Protocol=middle frame, Frames=32 consecutive frames2018.10 | 40.92 | |
| I3D2019.07 | 40.92 |