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Long-Tailed Image Classification

Benchmarks

Dataset Name	SOTA Method	Metric
ImageNet-LT (test)	Ours	Top-1 Acc (Overall)82	220	1mo ago
iNaturalist 2018	LIFT	Accuracy85.2	82	1mo ago
Places-LT 1.0 (Backward-LT)	LADE	Top-1 Accuracy43	70	1mo ago
Places Forward-LT 1.0	SADE	Top-1 Accuracy46.4	70	1mo ago
Places-LT (test)	Category Extrapolation	Accuracy52.4	61	1mo ago
CIFAR-100 LT (Imbalance ratio 100)	Prototype Classifier	Top-1 Acc53.41	47	1mo ago
CIFAR10-LT imbalance factor 100 (test)	DRO-LT (Learned ε)	Top-1 Accuracy82.6	46	1mo ago
CIFAR100-LT Imbalance Ratio 10	CVS+ADRW	Accuracy85.7	32	1mo ago
CIFAR-100-LT Imbalance ratio 50	Prototype Classifier	Top-1 Acc57.75	28	1mo ago
ImageNet-LT	SSD	Accuracy (Many)66.8	24	1mo ago
CIFAR100-LT imbalance factor 100 (test)	BALLAD	Top-1 Acc77.8	23	1mo ago
CIFAR100-LT Imbalance Factor 10	APA*+AGLU	Top-1 Acc66.8	22	1mo ago
CIFAR100-LT Uniform distribution IR100 (test)	SADE	Top-1 Acc49.8	22	1mo ago
ImageNet-LT 1.0 (test)	BCL	Top-1 Accuracy (Overall)57.1	21	1mo ago
CIFAR-100-LT λ=100 (test)	LPT	Accuracy (top-1)89.1	21	1mo ago
CIFAR-10 LT gamma=100, beta=20% (test)	ReMixMatch w/ ABC	Overall Accuracy82.4	21	1mo ago
CIFAR100-LT IF 50 (test)	NCL	Accuracy58.2	19	1mo ago
iNat (val test)	RAC	Overall Accuracy80.2	17	1mo ago
Places-LT (val test)	VL-LTR	Overall Accuracy50.1	15	1mo ago
CIFAR10 beta=100 LT (test)	ATL_all	Top-1 Acc82.6	15	1mo ago
CIFAR10-LT IF 50 (test)	NCL	Accuracy87.3	15	1mo ago
CIFAR100-LT Backward-LT test distribution IR100 (test)	SADE	Top-1 Acc (IR=2)46.2	14	1mo ago
CIFAR100-LT Forward-LT IR100 (test)	SADE	Top-1 Accuracy (IR=50)65.9	14	1mo ago
CIFAR-100-LT gamma=20, beta=40% (test)	ReMixMatch w/ ABC	Overall Accuracy57.6	13	1mo ago
SVHN-LT gamma=100, beta=20% (test)	ReMixMatch w/ ABC	Overall Accuracy93.9	13	1mo ago

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