Image Retrieval On Cars196
評価指標
R@1
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | 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 |