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Image Classification on ImageNet 1% (train)
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75
Accuracy
MAE-CTmin
53.368
58.984
64.6
70.216
Apr 20, 2023
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
MAE-CTmin
Architecture=ViT-H/16
2023.04
75
MAE-CTaug
Architecture=ViT-H/16
2023.04
75
MAE-CTaug
Architecture=ViT-L/16
2023.04
74.2
iBOT
Architecture=ViT-L/16
2023.04
73.3
MAE-CTmin
Architecture=ViT-L/16
2023.04
72.6
iBOT
Architecture=ViT-B/16
2023.04
71
MAE
Architecture=ViT-H/16
2023.04
70
MSN
Architecture=ViT-B/16
2023.04
69.5
Layer Grafting
Architecture=ViT-L/16
2023.04
69.3
MAE
Architecture=ViT-L/16
2023.04
67.7
MSN
Architecture=ViT-L/16
2023.04
67
Layer Grafting
Architecture=ViT-B/16
2023.04
65.5
MoCo v3
Architecture=ViT-B/16
2023.04
63.4
MAE-CTaug
Architecture=ViT-B/16
2023.04
63.3
MAE-CTmin
Architecture=ViT-B/16
2023.04
56.6
MAE
Architecture=ViT-B/16
2023.04
54.2
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