Fine-Grained
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Fine-Grained iNat-21, SUN, Aircraft, CUB, CIFAR-10 | Accuracy68.6 | 60 | |
| Mining Footprint Segmentation | Fine-grained (test) | Accuracy92.33 | 14 | |
| Generalized Category Discovery | Fine-grained Avg | Overall Accuracy76.6 | 12 | |
| Zero-shot Classification | Fine-Grained datasets (OxfordPets, Flowers102, Food101, StanfordCars) | Top-1 Accuracy (Clean)76.7 | 10 | |
| Image Classification | Fine-grained (Pets, Flowers) | Accuracy (Clean)95.45 | 5 |
Showing 5 of 5 rows