Research map / Video / Video segmentation and tracking
Salient-to-Broad Transition for Video Person Re-Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add SBM to the baseline (ablation) | SINet · MARS | rank-1: 88.6 -> 90.2 | Helped |
| Add SBM to the baseline (ablation) | SINet · MARS | mAP: 83.2 -> 85.7 | Helped |
| Add IDM to the baseline (ablation) | SINet · MARS | rank-1: 88.6 -> 90.5 | Helped |
| Add both SBM and IDM rather than the baseline (ablation) | SINet · MARS | rank-1: 88.6 -> 91.0 | Helped |
| Add SBM to the baseline (ablation) | SINet · LS-VID | rank-1: 82.8 -> 85.1 | Helped |
| Add IDM to the baseline (ablation) | SINet · LS-VID | rank-1: 82.8 -> 86.2 | Helped |
| Add both SBM and IDM rather than the baseline (ablation) | SINet · LS-VID | rank-1: 82.8 -> 87.4 | Helped |
| Add the channel attention layer (CAL) to SBM (ablation) | SBM · MARS | rank-1: 89.9 -> 90.2 | Helped |
| Add cross propagation module (CPM) to SBM (ablation) | SBM · MARS | rank-1: 90.0 -> 90.2 | Helped |
| Organize three SBMs hierarchically rather than at the same position (ablation) | SBM · MARS | rank-1: 89.5 -> 90.2 | Helped |
| Use two IDMs instead of one (ablation) | SINet · MARS | rank-1: 89.8 -> 90.5 | Helped |
| Use three IDMs instead of two (ablation) | SINet · MARS | rank-1: 90.5 -> 90.5 | No clear effect |
Closest papers by meaning
- Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification (AAAI 2020 · similarity 0.88)
- Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification (CVPR 2018 · similarity 0.88)
- Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect (AAAI 2020 · similarity 0.88)
- Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification (AAAI 2019 · similarity 0.87)
- BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification (CVPR 2021 · similarity 0.87)
- TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification (AAAI 2024 · similarity 0.85)
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