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Features for Multi-Target Multi-Camera Tracking and Re-Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use adaptive weighted triplet loss instead of batch-hard triplet loss | Person Re-ID feature training · DukeMTMC-ReID | rank-1: 73.24 -> 74.23 | Helped |
| Use adaptive weighted triplet loss instead of batch-hard triplet loss | Person Re-ID feature training · Market-1501 | rank-1: 82.99 -> 84.20 | Helped |
| Add data augmentation (ablation) | AWTL on DukeMTMC-ReID · DukeMTMC-ReID | rank-1: 74.23 -> 75.31 | Helped |
| Add data augmentation (ablation) | AWTL on Market-1501 · Market-1501 | rank-1: 84.20 -> 86.11 | Helped |
| Add hard-identity mining to augmented AWTL (ablation) | Person Re-ID feature training · DukeMTMC-ReID | rank-1: 75.31 -> 77.69 | Helped |
| Add hard-identity mining to augmented AWTL (ablation) | Person Re-ID feature training · Market-1501 | rank-1: 86.11 -> 86.94 | Helped |
| Use ResNet appearance features instead of HSV features (ablation) | DeepCC with OpenPose detections · DukeMTMC validation | IDF1: 58.24 -> 80.26 | Helped |
| Use OpenPose detections instead of DPM (ablation) | DeepCC with HSV features · DukeMTMC validation | IDF1: 54.98 -> 58.24 | Helped |
| Add a second network stream (ablation) | AWTL on DukeMTMC-ReID · DukeMTMC-ReID | rank-1: 77.69 -> 79.80 | Helped |
| Add a second network stream (ablation) | AWTL on Market-1501 · Market-1501 | rank-1: 86.94 -> 89.46 | Helped |
| Use square Euclidean distance with batch-hard loss rather than adaptive weighting (ablation) | DukeMTMC-ReID feature training · DukeMTMC-ReID | rank-1: 0.89 vs 71.45 | Hurt |
| Increase rank-1 Re-ID accuracy after correlation signs are mostly correct | Appearance features used for MTMCT · DukeMTMC validation | IDF1 | No clear effect |
Closest papers by meaning
- Single Camera Training for Person Re-Identification (AAAI 2020 · similarity 0.88)
- Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning (CVPR 2018 · similarity 0.88)
- Keypoint Message Passing for Video-Based Person Re-identification (AAAI 2022 · similarity 0.87)
- A Multi-Task Deep Network for Person Re-Identification (AAAI 2017 · similarity 0.87)
- MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark (CVPR 2024 · similarity 0.86)
- Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification (CVPR 2025 · similarity 0.84)
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