Long-tailed classification

Benchmarks

Dataset Name	SOTA Method	Metric
Disease-48 (test)	Relational Subsets Knowledge Distillation	Accuracy (Head)64.17	14	4d ago
Lesion-10 (test)	DB Loss	Accuracy (Head)88.01	14	4d ago
AWA-LT (test)	DRAGON + Bal'Loss	AccPC76.2	11	4d ago
SUN long-tailed (test)	DRAGON + Bal'Loss	AccPC36.1	11	4d ago
CUB long-tailed (test)	DRAGON + Bal'Loss	Accuracy PC60.1	11	4d ago
CIFAR-100 long-tail (test)	TLC	Accuracy (All)49.8	9	4d ago
CIFAR-10 long-tail (test)	TLC	Accuracy (All)0.804	9	4d ago
CIFAR100-LT tau=50 (test)	LPT	Accuracy90	5	4d ago
CIFAR100-LT tau=10 (test)	LPT	Accuracy91	4	4d ago
STL-10 ratio 0.02	ETF Classifier + DR	Accuracy0.463	4	4d ago
STL-10 ratio 0.01	ETF Classifier + DR	Accuracy42.9	4	4d ago
STL-10 ratio 0.005	ETF Classifier + DR	Accuracy39.5	4	4d ago
SVHN ratio 0.02	ETF Classifier + DR	Accuracy49.8	4	4d ago
SVHN ratio 0.01	ETF Classifier + DR	Accuracy45.7	4	4d ago
SVHN ratio 0.005	ETF Classifier + DR	Accuracy (%)42.8	4	4d ago
CIFAR-100 ratio 0.02	ETF Classifier + DR	Accuracy50.4	4	4d ago
CIFAR-100 ratio 0.01	ETF Classifier + DR	Accuracy45.3	4	4d ago
CIFAR-100 ratio 0.005	ETF Classifier + DR	Accuracy40.9	4	4d ago
CIFAR-10 ratio 0.02	Learnable Classifier + CE	Accuracy (%)84.1	4	4d ago
CIFAR-10 ratio 0.01	ETF Classifier + DR	Accuracy78.5	4	4d ago
CIFAR-10 ratio 0.005	ETF Classifier + DR	Accuracy72.9	4	4d ago
CIFAR100-LT tau=200 (test)	LPT	Accuracy87.9	3	4d ago

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