Research map / Architectures and efficiency / CNN design
Resource Aware Person Re-Identification Across Multiple Resolutions
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Fuse embeddings from multiple network stages (ablation) | DaRe · Market-1501 | Rank-1 error | Helped |
| Add deep supervision at the intermediate stages (ablation) | DaRe · Market-1501 | Rank-1 error: 2% | Helped |
| Use DenseNet-201 instead of ResNet-50 as the base network | DaRe+RE+RR · MARS | Rank-1: 83.9 -> 85.1 | Helped |
| Add random erasing | DaRe(ResNet-50) · Market-1501 | Rank-1: 86.4 -> 88.5 | Helped |
| Add random erasing | DaRe(ResNet-50) · MARS | Rank-1: 83.0 -> 82.6 | Hurt |
| Add re-ranking | DaRe(ResNet-50)+RE · Market-1501 | mAP: 74.2 -> 85.9 | Helped |
| Route queries using nearest-neighbor distance rather than random exits | DaRe budgeted-stream re-ID · Market-1501 | CMC Rank-1 accuracy | Helped |
| Route queries using nearest-neighbor margin rather than nearest-neighbor distance | DaRe budgeted-stream re-ID · Market-1501 | CMC Rank-1 accuracy | Helped |
| Share computation across early and later predictions in one model | DaRe anytime re-ID · Market-1501 | CMC Rank-1 accuracy: 3 ~ 5 points | Helped |
Closest papers by meaning
- Deep Neural Networks with Inexact Matching for Person Re-Identification (NeurIPS 2016 · similarity 0.91)
- Unsupervised Pre-Training for Person Re-Identification (CVPR 2021 · similarity 0.90)
- A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking (CVPR 2018 · similarity 0.90)
- Human Semantic Parsing for Person Re-Identification (CVPR 2018 · similarity 0.90)
- A Multi-Task Deep Network for Person Re-Identification (AAAI 2017 · similarity 0.90)
- A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification (AAAI 2019 · similarity 0.90)
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