Metric Learning On In Shop 1
평가 지표
R@1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | R@1 |
|---|---|
| hyperbolic-vision-transformers-combining | 92.4 |
| calibrated-neighborhood-aware-confidence | 91.3 |
| learning-semantic-proxies-from-visual-prompts | 92.1 |
| stir-siamese-transformer-for-image-retrieval | 95 |
| hyperbolic-vision-transformers-combining | 92.5 |
| it-takes-two-to-tango-mixup-for-deep-metric | 92.2 |
| hard-negative-examples-are-hard-but-useful | 90 |
| improved-embeddings-with-easy-positive | 87.8 |
| stir-siamese-transformer-for-image-retrieval | 92.1 |
| unicom-universal-and-compact-representation | 96.7 |
| metric-learning-cross-entropy-vs-pairwise | 90.6 |
| center-contrastive-loss-for-metric-learning | 92.31 |
| dissecting-the-impact-of-different-loss | 92.21 |
| fashion-image-retrieval-with-multi-granular-1 | 94.3 |
| proxynca-revisiting-and-revitalizing-proxy | 90.9 |