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Benchmarks
Image Classification on CIFAR-10 step
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97.15
Accuracy
FocalLoss
67.7284
75.3667
83.005
90.6433
Apr 30, 2026
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
FocalLoss
Backbone=ViT-base, Imb...
2026.04
97.15
DSGD
Backbone=ViT-base, Imb...
2026.04
96.95
LNSR
Backbone=ViT-base, Imb...
2026.04
96.9
PCGrad
Backbone=ViT-base, Imb...
2026.04
96.84
NoisyTune
Backbone=ViT-base, Imb...
2026.04
96.8
FFT
Backbone=ViT-base, Imb...
2026.04
96.09
DSGD
Backbone=ViT-base, Imb...
2026.04
84.18
LNSR
Backbone=ViT-base, Imb...
2026.04
84.03
FFT
Backbone=ViT-base, Imb...
2026.04
83.27
PCGrad
Backbone=ViT-base, Imb...
2026.04
82.05
FocalLoss
Backbone=ViT-base, Imb...
2026.04
70.31
NoisyTune
Backbone=ViT-base, Imb...
2026.04
68.86
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