Person Re Identification On Prcc
Metrics
Rank-1
mAP
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Rank-1 | mAP |
|---|---|---|
| dlcr-a-generative-data-expansion-framework | 66.5 | 63.0 |
| learning-3d-shape-feature-for-texture | 51.3 | - |
| dlcr-a-generative-data-expansion-framework | 84.6 | 66.0 |
| cloth-changing-person-re-identification-from | 33.3 | - |
| content-and-salient-semantics-collaboration | 65.5 | 63 |
| exploring-fine-grained-representation-and | 65.0 | 63.1 |
| clothes-changing-person-re-identification | 55.2 | 55.8 |
| reface-improving-clothes-changing-re | 82.5 | 64.7 |
| reface-improving-clothes-changing-re | 83.5 | 64.0 |
| fine-grained-shape-appearance-mutual-learning | 54.5 | - |