Fine-grained Image Classification

Benchmarks

Dataset Name	SOTA Method	Metric
CUB200 2011 (test)	HERBS	Accuracy93.1	585	25d ago
Stanford Cars (test)	PMAL	Accuracy97.3	372	2mo ago
CUB-200 2011	CSQA-Net	Accuracy92.6	317	1mo ago
Stanford Cars	CAP	Accuracy95.7	298	1mo ago
Stanford Dogs (test)	SR-GNN	Accuracy97.3	124	3mo ago
CUB	SLAD	Top-1 Acc91.81	78	26d ago
CUB-200 2011 (test)	HERBS	Acc92.5	69	2mo ago
CUB-200 (test)	SR-GNN	Accuracy91.9	58	1mo ago
Oxford-IIIT Pets	CAP	Accuracy97.3	55	1mo ago
CUB-200	VAN	Accuracy (All)91.3	53	1mo ago
FGVC-Aircraft	PMG	Accuracy (All)93.4	50	2mo ago
Oxford Flowers	MCLoss	Accuracy97.7	49	4mo ago
UCF101	Fair Context Learning (FCL)	Accuracy68.52	47	1mo ago
Oxford Flowers 102	DATL + WS-DAN	Accuracy98.9	45	1mo ago
Flowers	w/ LaViD	Top-1 Accuracy87.74	43	26d ago
8 Fine-grained Dataset Suite Average	AGC	Robustness93.4	42	1mo ago
Aircraft (test)	DivideMix + SNSCL	Best Accuracy84.17	40	4mo ago
DTD (novel classes)	TCPT	ECE3.3	36	4mo ago
FGVCAircraft (novel classes)	ZS-Norm	ECE3.79	36	4mo ago
UCF101 novel classes	TCPT	Expected Calibration Error1.89	28	4mo ago
Flowers102 (novel classes)	TCPT	ECE3.51	28	4mo ago
StanfordCars (novel classes)	CoCoOp	ECE1.88	28	4mo ago
OxfordPets (novel classes)	TCPT	ECE1.19	28	4mo ago
Caltech101 (novel classes)	TCPT	ECE1.03	28	4mo ago
Flowers102 base-to-new	PromptSRC + DePT	Base Accuracy98.4	28	4mo ago

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