Fine-grained Image Classification

Benchmarks

Dataset Name	SOTA Method	Metric
CUB200 2011 (test)	HERBS	Accuracy93.1	567	14d ago
Stanford Cars (test)	PMAL	Accuracy97.3	372	14d ago
CUB-200 2011	CSQA-Net	Accuracy92.6	314	20d ago
Stanford Cars	CAP	Accuracy95.7	284	2mo ago
Stanford Dogs (test)	SR-GNN	Accuracy97.3	124	1mo ago
CUB-200 2011 (test)	HERBS	Acc92.5	69	14d ago
FGVC-Aircraft	PMG	Accuracy (All)93.4	50	1mo ago
Oxford Flowers	MCLoss	Accuracy97.7	49	3mo ago
CUB	SLAD	Top-1 Acc91.81	45	5d ago
CUB-200 (test)	SR-GNN	Accuracy91.9	45	3mo ago
Oxford-IIIT Pets	CAP	Accuracy97.3	43	16d ago
Aircraft (test)	DivideMix + SNSCL	Best Accuracy84.17	40	3mo ago
CUB-200	VAN	Accuracy (All)91.3	39	21h ago
DTD (novel classes)	TCPT	ECE3.3	36	3mo ago
FGVCAircraft (novel classes)	ZS-Norm	ECE3.79	36	3mo ago
8 Fine-grained Dataset Suite Average	AGC	Robustness93.4	35	14d ago
UCF101	Fair Context Learning (FCL)	Accuracy68.52	34	3mo ago
Oxford Flowers 102	DATL + WS-DAN	Accuracy98.9	33	21h ago
UCF101 novel classes	TCPT	Expected Calibration Error1.89	28	3mo ago
Flowers102 (novel classes)	TCPT	ECE3.51	28	3mo ago
StanfordCars (novel classes)	CoCoOp	ECE1.88	28	3mo ago
OxfordPets (novel classes)	TCPT	ECE1.19	28	3mo ago
Caltech101 (novel classes)	TCPT	ECE1.03	28	3mo ago
Flowers102 base-to-new	PromptSRC + DePT	Base Accuracy98.4	28	2mo ago
StanfordCars base classes	Temp. Scal.	Accuracy78.65	27	3mo ago

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