Fine-grained Visual Categorization

Benchmarks

Dataset Name	SOTA Method	Metric
Stanford Cars (test)	Relational Proxy	Accuracy96.3	114	1mo ago
FGVCAircraft	TRD	Accuracy95.6	74	1mo ago
Stanford Dogs	CPM	Accuracy97.1	51	1mo ago
FGVC	DA-VPT+	Mean Accuracy91.94	40	1mo ago
FGVC (CUB-200-2011, NABirds, Oxford Flowers, Stanford Cars, Stanford Dogs) (test)	RLRR	CUB-200-2011 Accuracy89.8	32	1mo ago
CUB-Birds		Accuracy88.5	31	18d ago
Flowers-102	Finedefics-8B	Accuracy89.9	22	1mo ago
CUB	TRD	Accuracy92.1	20	1mo ago
Food-101 (test)	Proposed (CAP)	Accuracy98.6	15	1mo ago
Cars	DSeq-JEPA	Top-1 Accuracy70.1	13	1mo ago
iNat 21	DSeq-C-JEPA	Top-1 Accuracy39.7	13	1mo ago
Stanford Cars	TRD	Accuracy96.35	13	1mo ago
FGVC (CUB-200, NABirds, Oxford Flowers, Stanford Dogs, Stanford Cars) 1.0 (test)	SPT-Deep	Mean Accuracy91.4	12	1mo ago
Pets-37	Finedefics-8B	Accuracy92.2	10	1mo ago
Oxford-IIIT Pets (test)	Proposed (CAP)	Accuracy97.3	10	1mo ago
Cars-196	ReFine-RFT-CoT	Accuracy97.1	9	1mo ago
Aircrafts-102	ReFine-RFT-CoT	Accuracy79.3	9	1mo ago
iNaturalist	TRD	Accuracy72.27	7	1mo ago
Soy	TRD	Accuracy52.15	7	1mo ago
Cotton	TRD	Accuracy70.9	7	1mo ago
Dog	SR-GNN	Accuracy97.3	7	1mo ago
Car	SR-GNN	Accuracy96.1	7	1mo ago
CUB-200 (test)	Proposed (CAP)	Accuracy91.8	6	1mo ago
Soy Cultivar (test)	Relational Proxy	Accuracy51.2	5	1mo ago
Cotton Cultivar (test)	Relational Proxy	Accuracy69.81	5	1mo ago

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