Temporal Reasoning on SSv2
13.41Top-1 AccuracyLD-JEPA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LD-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 13.41 | 5.02 | |
| FWM-HW-LDPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 11.6 | 3.21 | |
| BaselinePretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 8.39 | — | |
| AMG-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 7.78 | 0.61 | |
| FWM-LD-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 7.63 | 0.76 | |
| FWM-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 7 | 1.39 | |
| HW-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 6.3 | 2.09 | |
| HW-LD-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 5.41 | 2.98 | |
| ComboPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 5 | 3.39 | |
| AC+HW-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 4.88 | 3.51 | |
| LTC-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 4.32 | 4.07 | |
| AC-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 4.21 | 4.18 | |
| Delta-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 3.8 | 4.59 | |
| Spectral-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 3.37 | 5.02 | |
| FAC-JEPAPretraining Datasets=UCF-101 + SSv2 + ImageNet-1002026.05 | 3.08 | 5.31 |