Image Retrieval On Cars196
Metrics
R@1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | R@1 |
|---|---|
| proxynca-revisiting-and-revitalizing-proxy | 90.1 |
| mes-loss-mutually-equidistant-separation | 87.89 |
| sampling-matters-in-deep-embedding-learning | 86.9 |
| multi-similarity-loss-with-general-pair | 84.1 |
| deep-metric-learning-with-hierarchical | 81.4 |
| improved-embeddings-with-easy-positive | 82.7 |
| making-classification-competitive-for-deep | 89.3 |
| combination-of-multiple-global-descriptors | 94.8 |