Person Re Identification On Cuhk03
評価指標
Rank-1
Rank-10
Rank-5
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-10 | Rank-5 |
|---|---|---|---|
| alignedreid-surpassing-human-level | 97.8 | 99.8 | 99.6 |
| harmonious-attention-network-for-person-re | 41.7 | - | - |
| unlabeled-samples-generated-by-gan-improve | 84.6 | - | - |
| omni-scale-feature-learning-for-person-re | - | - | - |
| re-ranking-person-re-identification-with-k | 61.6 | - | - |
| joint-discriminative-and-generative-learning | 65.6 | - | - |
| in-defense-of-the-triplet-loss-for-person-re | 89.63 | - | 99.01 |
| unsupervised-tracklet-person-re | 56.3 | - | - |
| rethinking-person-re-identification-from-a | 90.6 | - | - |
| unihcp-a-unified-model-for-human-centric | - | - | - |
| a-discriminatively-learned-cnn-embedding-for | 83.4 | - | - |
| adaptively-connected-neural-networks | 64.8 | - | - |
| joint-detection-and-identification-feature | 77.5 | - | - |
| deep-constrained-dominant-sets-for-person-re | 95.8 | - | 99.1 |
| fd-gan-pose-guided-feature-distilling-gan-for | 92.6 | - | - |
| unsupervised-pre-training-for-person-re | 81.9 | - | - |
| large-scale-pre-training-for-person-re | 84.7 | - | - |
| rethinking-person-re-identification-from-a | 85.2 | - | - |
| person-re-identification-with-deep-similarity | - | - | - |