FGVC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Fine-Grained Visual Categorization | FGVC | Mean Accuracy91.94 | 40 | |
| Image Classification | FGVC | Accuracy92.21 | 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 | Average Accuracy93.32 | 28 | |
| Image Classification | FGVC (test) | Accuracy89.11 | 25 | |
| Fine-Grained Visual Categorization | FGVC (CUB-200, NABirds, Oxford Flowers, Stanford Dogs, Stanford Cars) 1.0 (test) | Mean Accuracy91.4 | 12 | |
| Fine-Grained Image Classification | FGVC 1.0 (test) | CUB-201189.9 | 11 | |
| Image Classification | FGVC | Adversarial Accuracy3.69 | 5 | |
| Fine-grained Image Classification | FGVC-A | Accuracy (Iteration 1)88.78 | 4 |
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