Fine-grained Visual Categorization on Oxford-IIIT Pets (test)
97.3AccuracyProposed (CAP)
Evaluation results
| Method | Links | |
|---|---|---|
| Proposed (CAP)Transfer/Joint Learning Strategy=false2021.01 | 97.3 | |
| GPipeTransfer/Joint Learning Strategy=false2021.01 | 95.9 | |
| OPAMTransfer/Joint Learning Strategy=true2021.01 | 93.8 | |
| InterActTransfer/Joint Learning Strategy=false2021.01 | 93.5 | |
| Oracle ADAPTBP-free=true, Evaluation Protocol=Transductive2025.08 | 92.61 | |
| ADAPTBP-free=true, Evaluation Protocol=Transductive2025.08 | 92.59 | |
| TL-AttnTransfer/Joint Learning Strategy=true2021.01 | 92.5 | |
| ADAPTBP-free=true, Evaluation Protocol=Online2025.08 | 92.01 | |
| NACTransfer/Joint Learning Strategy=false2021.01 | 91.6 | |
| CLIPBP-free=N/A, Evaluation Protocol=Online2025.08 | 87.98 |