Research map / Video / Video segmentation and tracking
Top-Push Video-Based Person Re-Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use TDL instead of DVDL | Video-based person re-identification · PRID 2011 | Rank-1 matching rate: 40.6 -> 56.74 | Helped |
| Use TDL instead of Color&LBP+DVR | Video-based person re-identification · iLIDS-VID | Rank-1 matching rate: 34.5 -> 56.33 | Helped |
| Use TDL instead of LADF | Video-feature matching · PRID 2011 | Rank-1 matching rate: 47.30 -> 56.74 | Helped |
| Use TDL instead of LDA | Video-feature matching · iLIDS-VID | Rank-1 matching rate: 42.06 -> 56.33 | Helped |
| Combine HOG3D with pooled Color&LBP appearance features (ablation) | TDL video representation · PRID 2011 and iLIDS-VID | Rank-1 matching rate | Helped |
| Remove HOG3D space-time features (ablation) | TDL video representation · PRID 2011 and iLIDS-VID | Rank-1 matching rate | Hurt |
| Remove pooled Color&LBP appearance features (ablation) | TDL video representation · PRID 2011 and iLIDS-VID | Rank-1 matching rate | Hurt |
| Set α to 1, discarding intra-class distance minimization (ablation) | TDL · PRID 2011 and iLIDS-VID | AUC | Hurt |
| Remove the top-push constraint (ablation) | TDL · PRID 2011 and iLIDS-VID | AUC | Hurt |
| Set α around 0.1 to balance top-push and intra-class minimization (ablation) | TDL · PRID 2011 and iLIDS-VID | AUC | Helped |
Closest papers by meaning
- Keypoint Message Passing for Video-Based Person Re-identification (AAAI 2022 · similarity 0.89)
- A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking (CVPR 2018 · similarity 0.88)
- Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning (CVPR 2018 · similarity 0.88)
- Video-Based Person Re-Identification via Self Paced Weighting (AAAI 2018 · similarity 0.88)
- Deep Neural Networks with Inexact Matching for Person Re-Identification (NeurIPS 2016 · similarity 0.88)
- Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification (CVPR 2025 · similarity 0.87)
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