Research map / Label-efficient and robust learning / Recognition and long-tail
Multi-Level Factorisation Net for Person Re-Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add FS-feature fusion to the final deep feature (ablation) | MLFN · Market-1501 SQ | R1: 87.9 -> 90.0 | Helped |
| add dynamic FSM factor selection (ablation) | MLFN · Market-1501 SQ | R1: 88.0 -> 87.9 | Helped |
| add FS-feature fusion to the final deep feature (ablation) | MLFN · CUHK03 Setting 2 labelled | R1: 47.1 -> 54.7 | Helped |
| add dynamic FSM factor selection (ablation) | MLFN · CUHK03 Setting 2 labelled | R1: 43.8 -> 47.1 | Helped |
| add FS-feature fusion to the final deep feature (ablation) | MLFN · DukeMTMC-reID | R1: 78.7 -> 81.0 | Helped |
| add dynamic FSM factor selection (ablation) | MLFN · DukeMTMC-reID | R1: 75.7 -> 78.7 | Helped |
| replace holistic residual modules with aggregated factor modules (ablation) | ResNet · Market-1501 SQ | R1: 84.3 -> 88.0 | Helped |
Closest papers by meaning
- Resource Aware Person Re-Identification Across Multiple Resolutions (CVPR 2018 · similarity 0.89)
- Person30K: A Dual-Meta Generalization Network for Person Re-Identification (CVPR 2021 · similarity 0.89)
- Joint Discriminative and Generative Learning for Person Re-Identification (CVPR 2019 · similarity 0.88)
- Human Semantic Parsing for Person Re-Identification (CVPR 2018 · similarity 0.88)
- Relation-Aware Global Attention for Person Re-Identification (CVPR 2020 · similarity 0.88)
- Vision-Language Attribute Disentanglement and Reinforcement for Lifelong Person Re-Identification (CVPR 2026 · similarity 0.88)
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