Dogs
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Dogs | Accuracy86 | 72 | |
| Animal Vocalization Classification | Dogs (test) | Accuracy96.4 | 57 | |
| Feature Inversion | Dogs | SSIM51.7 | 20 | |
| Few-shot Image Classification | Dogs (test) | Accuracy90.07 | 18 | |
| Fine-grained classification | Dogs-120 | cACC58.1 | 16 | |
| Image Classification | Dogs (full) | Accuracy70.44 | 16 | |
| Image Classification | Dogs-120 (test) | Top-1 Accuracy86.31 | 10 | |
| Image Classification | Dogs (test) | Accuracy87.34 | 10 | |
| Foreground Extraction | Dogs (test) | IoU72.3 | 10 | |
| Foreground Extraction | Dogs (train) | IoU71.7 | 10 | |
| Fine-grained Image Classification | Dogs | Accuracy92.75 | 9 | |
| Reasoning | Dogs | Correctness88.02 | 6 | |
| Fine-grained Visual Classification | Dogs (val) | Accuracy93 | 6 | |
| Fine-grained Image Classification | Dogs (test) | Accuracy97.3 | 2 | |
| Zero-shot Classification | Dogs (test) | Accuracy35.1 | 1 |
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