FGVC

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	FGVC	Accuracy92.21	68
Fine-Grained Visual Categorization	FGVC	Mean Accuracy91.94	40
Image Classification	FGVC	CUB Accuracy90.5	38
Fine-Grained Visual Categorization	FGVC (CUB-200-2011, NABirds, Oxford Flowers, Stanford Cars, Stanford Dogs) (test)	CUB-200-2011 Accuracy89.8	32
Image Classification	FGVC (test)	Accuracy89.11	25
Image Classification	FGVC	Adversarial Accuracy80	16
Fine-Grained Visual Categorization	FGVC (CUB-200, NABirds, Oxford Flowers, Stanford Dogs, Stanford Cars) 1.0 (test)	Mean Accuracy91.4	12
Image Classification	FGVC zero-shot	Clean Accuracy26.8	11
Fine-Grained Image Classification	FGVC 1.0 (test)	CUB-201189.9	11
Fine-grained Image Classification	FGVC-A	Accuracy (Iteration 1)88.78	4
Target Class Detection	FGVC	True Positives (TP)4	3

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