Person Re Identification On Mars
評価指標
Rank-1
Rank-5
mAP
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 | Rank-1 | Rank-5 | mAP |
|---|---|---|---|
| robust-re-identification-by-multiple-views | 89.4 | 96.8 | 83.1 |
| cloth-changing-person-re-identification-from | 88.32 | - | 80.41 |
| multi-direction-and-multi-scale-pyramid-in-1 | 90.22 | 97.23 | 86.8 |
| in-defense-of-the-triplet-loss-for-person-re | 79.80 | 91.36 | 67.70 |
| learning-multi-granular-hypergraphs-for-video-1 | 90.0 | 96.7 | 85.8 |
| a-pose-sensitive-embedding-for-person-re | 76.7 | - | 71.8 |
| pyramid-spatial-temporal-aggregation-for | - | - | 85.8 |
| video-person-re-id-fantastic-techniques-and | - | - | 82.9 |
| temporal-knowledge-propagation-for-image-to | 84 | 93.7 | 73.3 |
| video-person-re-id-fantastic-techniques-and | 88.6 | - | - |
| dense-interaction-learning-for-video-based | 90.8 | 97.1 | 87 |
| unsupervised-tracklet-person-re | 49.9 | - | 35.2 |
| fine-grained-re-identification | 89.6 | 97.0 | 86.2 |
| in-defense-of-the-triplet-loss-for-person-re | 78.48 | 88.74 | 73.68 |
| spatially-and-temporally-efficient-non-local | 90 | - | 82.8 |
| video-based-person-re-identification-with-2 | 90.5 | - | 84.5 |
| spatio-temporal-representation-factorization | 90.30 | - | 86.10 |
| in-defense-of-the-triplet-loss-for-person-re | 81.21 | 90.76 | 77.43 |
| adaptive-graph-representation-learning-for | 89.8 | - | 81.1 |
| video-person-re-id-fantastic-techniques-and | - | - | 88.5 |
| in-defense-of-the-triplet-loss-for-person-re | 75.56 | 89.70 | 60.48 |