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Semantics-Aligned Representation Learning for Person Re-Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add pseudo-groundtruth texture reconstruction supervision (ablation) | ResNet-50 reID baseline · CUHK03(L) | Rank-1: 73.7 -> 77.9 | Helped |
| Add Triplet ReID constraints to decoder feature maps (ablation) | SAN-basic · CUHK03(L) | Rank-1: 77.9 -> 78.9 | Helped |
| Train with synthesized person-image/groundtruth-texture pairs (ablation) | SAN-basic · CUHK03(L) | mAP: 73.7 -> 75.8 | Helped |
| Use combined decoder Triplet ReID constraints and synthesized texture supervision (ablation) | SAN · Market1501 | mAP: 83.2 -> 88.0 | Helped |
| Reconstruct input images rather than aligned full textures (ablation) | encoder-decoder reID model · CUHK03(L) | Rank-1: 73.7 -> 74.4 | Helped |
| Use pose-aligned person images rather than input images for reconstruction (ablation) | encoder-decoder reID model · CUHK03(L) | Rank-1: 74.4 -> 75.8 | Helped |
| Use PN-GAN pose images as reconstruction guidance (ablation) | encoder-decoder reID model · CUHK03(L) | Rank-1: 73.7 -> 76.1 | Helped |
| Reconstruct densely aligned full texture instead of input or pose images (ablation) | encoder-decoder reID model · CUHK03(L) | Rank-1: 76.1 -> 77.9 | Helped |
| Increase the capacity of the pseudo-texture generator (ablation) | SAN-basic · person re-identification datasets | reID performance | Helped |
| Use generated texture images directly as reID inputs rather than texture-generation supervision (ablation) | reID model · person re-identification datasets | reID performance | Hurt |
| Add SAN semantics-aligned texture generation and reID training | ResNet-50 baseline · DukeMTMC-reID | Rank-1: 85.9 -> 87.9 | Helped |
| Add SAN semantics-aligned texture generation and reID training | ResNet-50 baseline · MSMT17 | mAP: 47.2 -> 55.7 | Helped |
Closest papers by meaning
- Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions (CVPR 2024 · similarity 0.89)
- From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization (CVPR 2025 · similarity 0.88)
- Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification (AAAI 2024 · similarity 0.88)
- Exploring the Camera Bias of Person Re-identification (ICLR 2025 · similarity 0.88)
- Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification (AAAI 2024 · similarity 0.88)
- Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification (AAAI 2024 · similarity 0.88)
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