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ResearchFormerly WizWand

Video Classification on Kinetics 400 (fine-tuning)

82.1Top-1 AccuracyEVEREST
72.7475.1777.680.03Nov 19, 2022
Updated 8mo ago

Evaluation results

MethodLinks
EVERESTBackbone=ViT-L, PT-Data=K400, PT-GFLOPs=60.8, FT-GFLOPs=330.0, Memory usage (GB)=164.1, Pre-training epochs=2002022.1182.1
VideoMAEBackbone=ViT-L, PT-Data=K400, PT-GFLOPs=83.1, FT-GFLOPs=597.2, Memory usage (GB)=634.1, Pre-training epochs=2002022.1182
ViViT FEBackbone=ViT-L, PT-Data=IN-21K, PT-GFLOPs=119.0, FT-GFLOPs=3980.0, Memory usage (GB)=N/A2022.1181.7
EVERESTBackbone=ViT-B, PT-Data=K400, PT-GFLOPs=21.5, FT-GFLOPs=98.1, Memory usage (GB)=91.2, Pre-training epochs=2002022.1179.2
MViTBackbone=MViT-B, PT-Data=None, FT-GFLOPs=70.5, trained from random initialization=true2022.1178.4
VideoMAEBackbone=ViT-B, PT-Data=K400, PT-GFLOPs=35.5, FT-GFLOPs=180.5, Memory usage (GB)=486.4, Pre-training epochs=2002022.1178.4
K-centeredBackbone=TSformer, PT-Data=IN-1K, PT-GFLOPs=67.4, FT-GFLOPs=590.0, Memory usage (GB)=N/A2022.1178
MViTBackbone=MViT-S, PT-Data=None, FT-GFLOPs=32.9, trained from random initialization=true2022.1176
EVERESTBackbone=ViT-S, PT-Data=K400, PT-GFLOPs=6.3, FT-GFLOPs=29.1, Memory usage (GB)=59.9, Pre-training epochs=2002022.1175.9
K-centeredBackbone=Mformer, PT-Data=IN-1K, PT-GFLOPs=67.4, FT-GFLOPs=369.5, Memory usage (GB)=N/A2022.1174.9
VideoMAEBackbone=ViT-S, PT-Data=K400, PT-GFLOPs=11.6, FT-GFLOPs=57.0, Memory usage (GB)=117.4, Pre-training epochs=2002022.1173.5
K-centeredBackbone=XViT, PT-Data=IN-1K, PT-GFLOPs=67.4, FT-GFLOPs=425.0, Memory usage (GB)=N/A2022.1173.1