Research map / Detection and segmentation / CNN features
Person Re-Identification in the Wild
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Fine-tune the IDE model from an R-CNN pedestrian-background detection model instead of an ImageNet model (ablation) | IDE on PRW · PRW | mAP | Helped |
| Fine-tune the IDE model from an R-CNN pedestrian-background detection model instead of an ImageNet model (ablation) | IDE on PRW · PRW | rank-1 accuracy | Helped |
| Weight similarity scores with detection confidence | IDE with CWS · PRW | re-ID accuracy | Helped |
| Evaluate detector quality using IoU > 0.7 rather than IoU > 0.5 | Person re-ID detector evaluation · PRW | agreement with overall re-ID accuracy | Helped |
Closest papers by meaning
- When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework (AAAI 2026 · similarity 0.90)
- Region-Based Quality Estimation Network for Large-Scale Person Re-Identification (AAAI 2018 · similarity 0.89)
- Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning (CVPR 2018 · similarity 0.89)
- From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization (CVPR 2025 · similarity 0.88)
- Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic (ICLR 2024 · similarity 0.87)
- From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification (CVPR 2025 · similarity 0.87)
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