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Image Classification on ImageNet 5-shot (train)
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68.9
Accuracy
MAE-CTmin
42.068
49.034
56
62.966
Apr 20, 2023
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
MAE-CTmin
Architecture=ViT-H/16
2023.04
68.9
MAE-CTaug
Architecture=ViT-H/16
2023.04
67.7
MAE-CTaug
Architecture=ViT-L/16
2023.04
66.9
MAE-CTmin
Architecture=ViT-L/16
2023.04
66.7
iBOT
Architecture=ViT-L/16
2023.04
66.5
MSN
Architecture=ViT-B/16
2023.04
65.5
Layer Grafting
Architecture=ViT-L/16
2023.04
65.3
iBOT
Architecture=ViT-B/16
2023.04
64.3
MSN
Architecture=ViT-L/16
2023.04
62.5
Layer Grafting
Architecture=ViT-B/16
2023.04
59.3
MoCo v3
Architecture=ViT-B/16
2023.04
57.3
MAE-CTaug
Architecture=ViT-B/16
2023.04
57.3
MAE
Architecture=ViT-L/16
2023.04
56.9
MAE
Architecture=ViT-H/16
2023.04
55.2
MAE-CTmin
Architecture=ViT-B/16
2023.04
47.8
MAE
Architecture=ViT-B/16
2023.04
43.1
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