Action Recognition on UCF-101 (Clean Accuracy and Robustness Metrics)
54.51Clean AccuracyAT-D
Evaluation Results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AT-DBackbone=3D ResNet, Perturbation budget (epsilon)=10/2552026.02 | 54.51 | 21.98 | 20.11 | 4.79 | 26.15 | 24.84 | — | — | — | — | — | — | |
| J-TLATBackbone=3D ResNet, Perturbation budget (epsilon)=8/2552026.02 | 54.29 | 36.37 | 34.29 | 1.831 | 37.36 | 38.68 | 0.823 | 34.95 | 34.29 | 2.343 | 51.87 | 33.96 | |
| J-TLATBackbone=3D ResNet, Perturbation budget (epsilon)=10/2552026.02 | 54.29 | 33.63 | 30.11 | 1.831 | 34.29 | 36.59 | 0.823 | 31.76 | 31.43 | 2.343 | 52.42 | 30.33 | |
| J-TLATBackbone=3D ResNet, Perturbation budget (epsilon)=12/2552026.02 | 54.29 | 29.23 | 27.03 | 1.831 | 30.66 | 33.52 | 0.823 | 28.24 | 25.93 | 2.343 | 51.76 | 24.95 | |
| J-TLATBackbone=3D ResNet, Perturbation budget (epsilon)=14/2552026.02 | 54.29 | 26.92 | 23.63 | 1.831 | 28.57 | 32.2 | 0.823 | 24.95 | 23.41 | 2.343 | 51.87 | 21.98 | |
| OUD-MBackbone=3D ResNet, Perturbation budget (epsilon)=12/2552026.02 | 51.67 | 11.1 | 16.26 | 19.94 | 20.11 | 22.97 | 1,389 | 7.03 | 16.37 | 1,474 | 4.29 | 1.87 | |
| TLATBackbone=3D ResNet, Perturbation budget (epsilon)=10/2552026.02 | 51.65 | 27.14 | 20.22 | 1.831 | 30.99 | 33.08 | 3.5 | 31.21 | 29.12 | 208 | 28.13 | 10.11 | |
| AT-SBackbone=3D ResNet, Perturbation budget (epsilon)=8/2552026.02 | 49.89 | 23.85 | 22.75 | 2.534 | 27.91 | 27.47 | — | — | — | — | — | — | |
| AAT-MBackbone=3D ResNet, Perturbation budget (epsilon)=14/2552026.02 | 49.67 | 18.57 | 13.41 | 1.831 | 19.34 | 26.37 | 953.3 | 8.24 | 12.09 | 1,157 | 5.71 | 0 | |
| AT-MBackbone=3D ResNet, Perturbation budget (epsilon)=8/2552026.02 | 49.23 | 19.23 | 21.43 | 1.831 | 25.05 | 29.56 | 261.8 | 18.9 | 29.23 | 596 | 18.24 | 6.15 | |
| AT-MBackbone=3D ResNet, Perturbation budget (epsilon)=10/2552026.02 | 49.23 | 18.46 | 20 | 1.831 | 22.09 | 27.36 | 261.8 | 16.7 | 27.36 | 596 | 16.15 | 5.06 |