Research map / Video / Video segmentation and tracking
Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add feature projection matrix W (video congregating) to dictionary pair learning (ablation) | PHDL · iLIDS-VID | rank-1 matching rate (%): 20.08 -> 22.32 | Helped |
| Add spatial-temporal STFV3D feature alongside WHOSE for video (ablation) | PHDL · iLIDS-VID | rank-1 matching rate (%): 22.32 -> 28.15 | Helped |
| Add spatial-temporal STFV3D feature alongside WHOSE for video (ablation) | PHDL · PRID 2011 | rank-1 matching rate (%): 38.30 -> 41.92 | Helped |
| Use PHDL heterogeneous dictionary pair instead of best baseline (XQDA) | PHDL · PRID 2011 | rank-1 matching rate (%): 24.65 -> 38.30 | Helped |
| Use PHDL+WHOSE instead of KISSME | PHDL · iLIDS-VID | rank-1 matching rate (%): 17.56 -> 22.32 | Helped |
| Vary alpha in [6, 16] (ablation) | PHDL · iLIDS-VID | rank-10 matching rate | No clear effect |
| Vary FPM size within 400 to 600 columns (ablation) | PHDL · iLIDS-VID | rank-10 matching rate | No clear effect |
Closest papers by meaning
- Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification (AAAI 2018 · similarity 0.90)
- Sample-Specific SVM Learning for Person Re-Identification (CVPR 2016 · similarity 0.89)
- Person Re-Identification in the Wild (CVPR 2017 · similarity 0.88)
- Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification (AAAI 2020 · similarity 0.87)
- Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification (CVPR 2019 · similarity 0.87)
- Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability (CVPR 2024 · similarity 0.87)
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