Person Re Identification On Occluded Dukemtmc
Metrics
Rank-1
mAP
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Rank-1 | mAP |
|---|---|---|
| enhancing-person-re-identification-via | 70.6 | 61.0 |
| dip-learning-discriminative-implicit-parts | - | 63.1 |
| enhancing-person-re-identification-via | 68.9 | 61.9 |
| learning-to-disentangle-scenes-for-person-re | - | 55.75 |
| keypoint-promptable-re-identification | - | 67.13 |
| template-aware-transformer-for-person | - | 60.6 |
| keypoint-promptable-re-identification | - | 75.11 |
| human-co-parsing-guided-alignment-for | - | 57.5 |
| feature-erasing-and-diffusion-network-for | - | - |
| body-part-based-representation-learning-for | - | 62.5 |
| incremental-generative-occlusion-adversarial | - | 49.4 |