Stanford Dogs
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Stanford Dogs | Accuracy93.8 | 153 | |
| Image Classification | Stanford Dogs (test) | Top-1 Acc92.4 | 140 | |
| Fine-grained Image Classification | Stanford Dogs (test) | Accuracy97.3 | 124 | |
| Fine-Grained Visual Classification | Stanford Dogs (test) | Top-1 Acc92 | 52 | |
| Fine-Grained Visual Categorization | Stanford Dogs | Accuracy97.1 | 51 | |
| Fine-grained 5-way classification | Stanford Dogs | 1-shot Acc80.93 | 37 | |
| Fine-grained Image Hashing | Stanford Dogs (test) | Collision Probability0.0014 | 30 | |
| Fine-grained Image Hashing | Stanford Dogs | Collision Probability0.2 | 30 | |
| Image Retrieval | Stanford Dogs | mAP62.64 | 25 | |
| Fine-Grained Visual Recognition | Stanford Dogs (val) | Top-1 Acc74.38 | 24 | |
| Concept Erasure | Stanford Dogs (test) | Aer100 | 21 | |
| Image Classification | Stanford Dogs (test) | 1-shot Accuracy67.56 | 21 | |
| Fine-grained Classification | Stanford Dogs 40% symmetric noise (test) | Best Accuracy79.12 | 20 | |
| Fine-grained Classification | Stanford Dogs 20% symmetric noise (test) | Best Accuracy81.4 | 20 | |
| Fine-grained Image Classification | Stanford Dogs | Score8.8 | 18 | |
| Image Classification | Stanford Dogs | Clean Accuracy92.02 | 18 | |
| Few-shot Classification | Stanford Dogs | Accuracy81.77 | 15 | |
| Image Classification | Stanford Dogs 5-way 5-shot (test) | Accuracy91.35 | 13 | |
| Image Classification | Stanford Dogs 5-way 2-shot | Accuracy86.95 | 13 | |
| Confidence Estimation | Stanford Dogs (test) | AUPR90.82 | 11 | |
| Concept Erasure | Stanford Dogs Bluetick | Acc_t100 | 11 | |
| Concept Erasure | Stanford Dogs Chesapeake Bay Retriever | Accuracy (Test)100 | 11 | |
| OOD detection | Stanford Dogs | AUROC99.55 | 11 | |
| Fine-grained Classification | Stanf. Dogs (test) | Top-1 Error7.1 | 10 | |
| Class Incremental Learning | Stanford Dogs 10 Tasks | Average Accuracy92.64 | 9 |
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