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Few-Shot Class-Incremental Learning

Benchmarks

Dataset Name	SOTA Method	Metric
miniImageNet (test)	LIMIT	Accuracy (Session 1)89.2	173	4d ago
CIFAR100 (test)	GMM	Session 4 Top-1 Acc85.65	122	4d ago
CUB200 (test)	LIMIT+SV-Swin-T	Accuracy (Session 1)82.63	92	4d ago
CUB-200	EPT*	Session 1 Accuracy88.92	75	4d ago
CIFAR100		Accuracy (S0)91.36	67	4d ago
iCubWorld	SLDA	BCR100	39	4d ago
CORe50	OrCo	BCR99.9	39	4d ago
CUB200 (incremental sessions)	LIMIT+SV-Swin-T	Session 0 Accuracy84.19	37	4d ago
MiniImageNet		Avg Accuracy94.02	31	4d ago
CUB200	Gen1S-VAE	Backward Class Recall74.2	26	4d ago
CIFAR100 multi-class 5-shot	FACT	BCR80.5	26	4d ago
miniImageNet 5-way 5-shot (incremental)	BiAG	Accuracy S084.78	21	4d ago
CUB-200	YourSelf	Session 0 Accuracy83.4	21	4d ago
CIFAR-100 60 base classes 5-way 5-shot Session 8	PriViLege	Accuracy86.06	20	4d ago
CIFAR-100 60 base classes 5-way 5-shot Session 7	PriViLege	Accuracy87.15	20	4d ago
CIFAR-100 60 base classes, 5-way 5-shot, Session 6	PriViLege	Accuracy87.53	20	4d ago
CIFAR-100 60 base classes 5-way 5-shot Session 5	PriViLege	Accuracy87.35	20	4d ago
CIFAR-100 60 base classes 5-way 5-shot Session 4	PriViLege	Accuracy87.83	20	4d ago
CIFAR-100 60 base classes 5-way 5-shot Session 3	PriViLege	Accuracy87.55	20	4d ago
CIFAR-100 60 base classes 5-way 5-shot Session 2	PriViLege	Accuracy88.97	20	4d ago
CIFAR-100 60 base classes 5-way 5-shot Session 1	PriViLege	Accuracy89.39	20	4d ago
CIFAR-100 60 base classes, 5-way 5-shot, Session 0	PriViLege	Accuracy90.88	20	4d ago
miniImageNet 60 base classes 5-way 5-shot (incremental)	CoACT	Session 0 Accuracy97.63	20	4d ago
miniImageNet, CUB-200, and CIFAR-100 Average (test)	BiAG	Base Accuracy83.92	18	4d ago
CIFAR100	FACT	BCR84.6	13	4d ago

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