Research map / Label-efficient and robust learning / Recognition and long-tail
Deep Neural Networks with Inexact Matching for Person Re-Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| fuse exact-matching network with Normalized X-Corr (ablation) | Norm X-Corr · CUHK03 Labeled | rank-1 accuracy: 64.73 -> 72.43 | Helped |
| fuse exact-matching network with Normalized X-Corr (ablation) | Norm X-Corr · CUHK01 486 test ids | rank-1 accuracy: 60.17 -> 65.04 | Helped |
| fuse exact-matching network with Normalized X-Corr (ablation) | Norm X-Corr · QMUL GRID | rank-1 accuracy: 16.00 -> 19.20 | Helped |
| inexact normalized cross-correlation matching over wide search region vs exact matching (Ahmed et al.) | Siamese CNN re-ID · CUHK03 Detected | rank-1 accuracy: 44.96 -> 67.13 | Helped |
| add wider search space (ablation) | Norm X-Corr · multiple re-ID datasets | rank-1 accuracy: at least 6% | Helped |
| add inexact (normalized) matching (ablation) | Norm X-Corr · multiple re-ID datasets | rank-1 accuracy: at least 6% | Helped |
| multi-GPU training | training pipeline · CUHK03 | training speed: 3x | Helped |
Closest papers by meaning
- Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification (CVPR 2016 · similarity 0.92)
- Harmonious Attention Network for Person Re-Identification (CVPR 2018 · similarity 0.91)
- Resource Aware Person Re-Identification Across Multiple Resolutions (CVPR 2018 · similarity 0.91)
- Multi-Channel Pyramid Person Matching Network for Person Re-Identification (AAAI 2018 · similarity 0.90)
- Efficient and Deep Person Re-Identification Using Multi-Level Similarity (CVPR 2018 · similarity 0.90)
- Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach (CVPR 2018 · similarity 0.90)
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