Fine-grained Visual Categorization

Benchmarks

Dataset Name	SOTA Method	Metric
Stanford Cars (test)	Relational Proxy	Accuracy96.3	114	2mo ago
FGVCAircraft	TRD	Accuracy95.6	74	2mo ago
Stanford Dogs	CPM	Accuracy97.1	51	3mo ago
FGVC	DA-VPT+	Mean Accuracy91.94	40	3mo ago
FGVC (CUB-200-2011, NABirds, Oxford Flowers, Stanford Cars, Stanford Dogs) (test)	RLRR	CUB-200-2011 Accuracy89.8	32	3mo ago
CUB-Birds		Accuracy88.5	31	2mo ago
Flowers-102	Finedefics-8B	Accuracy89.9	22	3mo ago
CUB	TRD	Accuracy92.1	20	3mo ago
Pets-37	FiNDR	cACC86.5	15	16d ago
Food-101 (test)	Proposed (CAP)	Accuracy98.6	15	2mo ago
Cars	DSeq-JEPA	Top-1 Accuracy70.1	13	2mo ago
iNat 21	DSeq-C-JEPA	Top-1 Accuracy39.7	13	2mo ago
Stanford Cars	TRD	Accuracy96.35	13	3mo ago
FGVC (CUB-200, NABirds, Oxford Flowers, Stanford Dogs, Stanford Cars) 1.0 (test)	SPT-Deep	Mean Accuracy91.4	12	3mo ago
Oxford-IIIT Pets (test)	Proposed (CAP)	Accuracy97.3	10	2mo ago
Cars-196	ReFine-RFT-CoT	Accuracy97.1	9	3mo ago
Aircrafts-102	ReFine-RFT-CoT	Accuracy79.3	9	3mo ago
iNaturalist	TRD	Accuracy72.27	7	3mo ago
Soy	TRD	Accuracy52.15	7	3mo ago
Cotton	TRD	Accuracy70.9	7	3mo ago
Dog	SR-GNN	Accuracy97.3	7	3mo ago
Car	SR-GNN	Accuracy96.1	7	3mo ago
CUB-200 (test)	Proposed (CAP)	Accuracy91.8	6	3mo ago
Soy Cultivar (test)	Relational Proxy	Accuracy51.2	5	3mo ago
Cotton Cultivar (test)	Relational Proxy	Accuracy69.81	5	3mo ago

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