Person Re Identification On Occluded Dukemtmc
Metrics
Rank-1
mAP
Results
Performance results of various models on this benchmark
Model Name | Rank-1 | mAP | Paper Title | Repository |
|---|---|---|---|---|
| BoT+UFFM+AMC | 70.6 | 61.0 | Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination | |
| DiP (without RK) | - | 63.1 | DiP: Learning Discriminative Implicit Parts for Person Re-Identification | |
| CLIPReID-Baseline+UFFM+AMC | 68.9 | 61.9 | Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination | |
| LDS | - | 55.75 | Learning to Disentangle Scenes for Person Re-identification | |
| KPR | - | 67.13 | Keypoint Promptable Re-Identification | |
| TAT | - | 60.6 | Template-Aware Transformer for Person Reidentification | - |
| KPR + SOLIDER | - | 75.11 | Keypoint Promptable Re-Identification | |
| HCGA | - | 57.5 | Human Co-Parsing Guided Alignment for Occluded Person Re-identification | - |
| FED | - | - | Feature Erasing and Diffusion Network for Occluded Person Re-Identification | |
| BPBreID | - | 62.5 | Body Part-Based Representation Learning for Occluded Person Re-Identification | |
| IGOAS | - | 49.4 | Incremental Generative Occlusion Adversarial Suppression Network for Person ReID | - |
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