Video Classification on Kinetics 400 (fine-tuning)
82.1Top-1 AccuracyEVEREST
Evaluation Results
| Method | Links | |
|---|---|---|
| EVERESTBackbone=ViT-L, PT-Data=K400, PT-GFLOPs=60.8, FT-GFLOPs=330.0, Memory usage (GB)=164.1, Pre-training epochs=2002022.11 | 82.1 | |
| VideoMAEBackbone=ViT-L, PT-Data=K400, PT-GFLOPs=83.1, FT-GFLOPs=597.2, Memory usage (GB)=634.1, Pre-training epochs=2002022.11 | 82 | |
| ViViT FEBackbone=ViT-L, PT-Data=IN-21K, PT-GFLOPs=119.0, FT-GFLOPs=3980.0, Memory usage (GB)=N/A2022.11 | 81.7 | |
| EVERESTBackbone=ViT-B, PT-Data=K400, PT-GFLOPs=21.5, FT-GFLOPs=98.1, Memory usage (GB)=91.2, Pre-training epochs=2002022.11 | 79.2 | |
| MViTBackbone=MViT-B, PT-Data=None, FT-GFLOPs=70.5, trained from random initialization=true2022.11 | 78.4 | |
| VideoMAEBackbone=ViT-B, PT-Data=K400, PT-GFLOPs=35.5, FT-GFLOPs=180.5, Memory usage (GB)=486.4, Pre-training epochs=2002022.11 | 78.4 | |
| K-centeredBackbone=TSformer, PT-Data=IN-1K, PT-GFLOPs=67.4, FT-GFLOPs=590.0, Memory usage (GB)=N/A2022.11 | 78 | |
| MViTBackbone=MViT-S, PT-Data=None, FT-GFLOPs=32.9, trained from random initialization=true2022.11 | 76 | |
| EVERESTBackbone=ViT-S, PT-Data=K400, PT-GFLOPs=6.3, FT-GFLOPs=29.1, Memory usage (GB)=59.9, Pre-training epochs=2002022.11 | 75.9 | |
| K-centeredBackbone=Mformer, PT-Data=IN-1K, PT-GFLOPs=67.4, FT-GFLOPs=369.5, Memory usage (GB)=N/A2022.11 | 74.9 | |
| VideoMAEBackbone=ViT-S, PT-Data=K400, PT-GFLOPs=11.6, FT-GFLOPs=57.0, Memory usage (GB)=117.4, Pre-training epochs=2002022.11 | 73.5 | |
| K-centeredBackbone=XViT, PT-Data=IN-1K, PT-GFLOPs=67.4, FT-GFLOPs=425.0, Memory usage (GB)=N/A2022.11 | 73.1 |