Fine-grained classification benchmarks
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Fine-grained classification benchmarks (Food-101, CIFAR-10, CIFAR-100, SUN397, Stanford Cars, FGVC Aircraft, Pascal VOC 2007, DTD, Oxford-IIIT Pets, Caltech-101, Oxford Flowers 102, CUB-200-2011) | Accuracy (Food-101)83.4 | 14 |
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