Action Classification on Moments in Time (MiT) 2018 (standard)
34.27Top-1 AccAssembleNet-101
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AssembleNet-101modality=RGB+F, pre-train=Kinetics2019.05 | 34.27 | 62.71 | |
| AssembleNet-50modality=RGB+F, pre-train=Kinetics2019.05 | 33.91 | 60.86 | |
| AssembleNet-50modality=RGB+F2019.05 | 31.41 | 58.33 | |
| I3Dmodality=RGB+F2019.05 | 29.51 | 56.06 | |
| Two-stream (2+1)D ResNet-50modality=RGB+F, backbone=(2+1)D ResNet-502019.05 | 28.97 | 55.55 | |
| TRN-Multimodality=RGB+F2019.05 | 28.27 | 53.87 | |
| ResNet50-ImageNetmodality=RGB, backbone=ResNet50, pre-train=ImageNet2019.05 | 27.16 | 51.68 | |
| TSN-2Streammodality=RGB+F2019.05 | 25.32 | 50.1 | |
| TSNmodality=RGB2019.05 | 24.11 | 49.1 | |
| TSN-Flowmodality=Flow2019.05 | 15.71 | 34.65 | |
| Ioffe & Szegedymodality=Flow2019.05 | 11.6 | 27.4 |