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FGVC

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFGVC
Accuracy92.21
140
Image ClassificationFGVC
Average Accuracy93.32
78
Fine-Grained Visual CategorizationFGVC
Mean Accuracy91.94
40
Fine-Grained Visual CategorizationFGVC (CUB-200-2011, NABirds, Oxford Flowers, Stanford Cars, Stanford Dogs) (test)
CUB-200-2011 Accuracy89.8
32
Image ClassificationFGVC (test)
Accuracy89.11
25
Image ClassificationFGVC
Clean Accuracy20.5
23
Fine-grained Image ClassificationFGVC (CUB-200, Stanford Dogs, Stanford Cars, NABirds) (test)
Average Top-1 Accuracy90.06
16
Image ClassificationFGVC (Fine-Grained Visual Categorization) (test)
DTD Accuracy47.61
12
Image ClassificationFGVC
Top-5 Accuracy95.23
12
Fine-Grained Visual CategorizationFGVC (CUB-200, NABirds, Oxford Flowers, Stanford Dogs, Stanford Cars) 1.0 (test)
Mean Accuracy91.4
12
Image ClassificationFGVC zero-shot
Clean Accuracy26.8
11
Fine-Grained Image ClassificationFGVC 1.0 (test)
CUB-201189.9
11
Image ClassificationFGVC
Top-1 Accuracy26.5
5
Fine-grained Image ClassificationFGVC-A
Accuracy (Iteration 1)88.78
4
Target Class DetectionFGVC
True Positives (TP)4
3
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