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Benchmarks
Image Classification on CIFAR-100 Task A 50 classes
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87.78
Accuracy
MuDSC A.
74.7176
78.1088
81.5
84.8912
Mar 4, 2024
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
MuDSC A.
Backbone=Swin-T
2024.03
87.78
MuDSC Z.
Backbone=Swin-T
2024.03
87.74
Rebasin
Backbone=Swin-T
2024.03
87.46
W. Zip
Backbone=Swin-T
2024.03
87.46
A. Align
Backbone=Swin-T
2024.03
81.42
MuDSC Z.
Backbone=DINO-S
2024.03
81.27
MuDSC A.
Backbone=DINO-S
2024.03
81.24
W. Zip
Backbone=DINO-S
2024.03
81.11
Rebasin
Backbone=DINO-S
2024.03
81.07
Zipit
Backbone=DINO-S
2024.03
79.9
A. Align
Backbone=DINO-S
2024.03
76.92
Zipit
Backbone=Swin-T
2024.03
75.22
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