Fine-grained Video Categorization on ActivityNet v1.3 (val)
90.9mAPC16
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| C16Backbone=Ensemble2019.07 | 90.9 | — | — | |
| MARLBackbone=SEResNeXt152, Pre-trained=Kinetics2019.07 | 90.05 | 85.72 | — | |
| MARLBackbone=ResNet-152, Pre-trained=ImageNet2019.07 | 83.81 | 79.82 | — | |
| MARLBackbone=BN-Inception, Pre-trained=Kinetics2019.07 | 83.52 | 80.22 | — | |
| RRABackbone=ResNet-1522018.10 | 83.42 | 78.81 | 91.88 | |
| RRABackbone=ResNet-152, Pre-trained=ImageNet2019.07 | 83.42 | 78.81 | — | |
| TSNBackbone=BN-Inception, Pre-trained=Kinetics2019.07 | 81.8 | 78.98 | — | |
| P3DBackbone=ResNet-1522018.10 | 78.86 | 75.12 | 87.71 | |
| P3DBackbone=ResNet-152, Pre-trained=ImageNet2019.07 | 78.86 | 75.12 | — | |
| NSNetBackbone=MBv2+Res50, FLOPS=26.0G2022.07 | 76.8 | — | — | |
| TSQNetBackbone=ResNet50, FLOPS=26.1G2022.07 | 76.6 | — | — | |
| TSNBackbone=BN-Inception, Pre-trained=ImageNet2019.07 | 76.56 | 72.97 | — | |
| TSQNet (VQM-only)Backbone=ResNet50, Resolution=224, FLOPS=26.1G2022.07 | 76.5 | — | — | |
| FrameExitBackbone=ResNet-50, FLOPS=26.1G2022.07 | 76.1 | — | — | |
| FrameExitBackbone=ResNet50, FLOPS=26.1G2022.07 | 76.1 | — | — | |
| Dynamic-STEBackbone=Res18+Res50, FLOPS=30.5G2022.07 | 75.9 | — | — | |
| Dynamic-STEBackbone=ResNet18,50, FLOPS=30.5G2022.07 | 75.9 | — | — | |
| TSQNet (VQM-only)Backbone=ResNet50, Resolution=188, FLOPS=24.3G2022.07 | 75.7 | — | — | |
| AdaFocusBackbone=MBv2+Res50, FLOPS=26.6G2022.07 | 75 | — | — | |
| AdaFocusBackbone=ResNet50, FLOPS=26.6G2022.07 | 75 | — | — | |
| VideoIQBackbone=MBv2+Res50, FLOPS=28.1G2022.07 | 74.8 | — | — | |
| VideoIQBackbone=ResNet50, FLOPS=28.1G2022.07 | 74.8 | — | — | |
| AdaMMLBackbone=MBv2+Res50, FLOPS=94.0G2022.07 | 73.9 | — | — | |
| AdaMMLBackbone=ResNet50, FLOPS=94.0G2022.07 | 73.9 | — | — | |
| AR-NetBackbone=MBv2+ResNets, FLOPS=33.5G2022.07 | 73.8 | — | — | |
| AR-NetBackbone=ResNet18,34,50, FLOPS=33.5G2022.07 | 73.8 | — | — | |
| SCSamplerBackbone=MBv2+Res50, FLOPS=42.0G2022.07 | 72.9 | — | — | |
| SCSamplerBackbone=ResNet50, FLOPS=42.0G2022.07 | 72.9 | — | — | |
| IDTBackbone=ResNet-1522018.10 | 68.69 | 64.7 | 77.98 | |
| IDTPre-trained=ImageNet2019.07 | 68.69 | 64.7 | — | |
| C3DBackbone=ResNet-1522018.10 | 67.68 | 65.8 | 81.16 | |
| C3DPre-trained=Sports1M2019.07 | 67.68 | 65.8 | — |