Fine-grained classification
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | 11 Fine-grained classification datasets (Food, CIFAR-10, CIFAR-100, SUN397, Stanford Cars, FGVC Aircraft, DTD, Oxford-IIIT Pets, Caltech-101, Oxford Flowers-102, CUB-200-2011) 1.0 (test) | Food Accuracy95 | 10 | |
| Image Classification | Fine-grained classification datasets (Adversarial) | Average Inference Time (s)0.0057 | 4 |
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