This is a repository for organizing articles related to person re-identification. Most papers are linked to the pdf address provided by "arXiv" or "Openaccess". However, some papers require an academic license to browse. For example, IEEE, springer, and elsevier journal, etc.
- 0. Statistics
- 1. Survey
- 2. Unsupervised Person Re-ID (+ Transfer / Semi-supervised learning)
- 3. Supervised Person Re-ID
- 4. Person search
- 5. Others
- 6. Datasets
Conference | Link | #Total | Unsupervised reID | Supervised reID | Person search | Others | Datasets |
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ECCV2018 | Click | 19 | 4 | 8 | 4 | 3 | 0 |
CVPR2018 | Click | 31 | 5 | 23 | 0 | 2 | 1 |
ICCV2017 | Click | 16 | 7 | 6 | 1 | 2 | 0 |
CVPR2017 | Click | 16 | 2 | 9 | 1 | 3 | 1 |
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- Performance
- Rank-1 (Market1501) : 65.7 (Single query)
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- Performance
- Rank-1 (Market1501) : 63.7 (ResNet-50. Images resized to 256x128.)
- Summary
- Sparse space-time tracklet (SSTT) sampling
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- Sparse temporal sampling
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- Sparse spatial sampling
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- Tracklet association unsupervised deep learning (TAUDL) in an end-to-end manner.
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- Per-camera tracklet discrimination learning
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- Cross-camera tracklet association learning
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- Sparse space-time tracklet (SSTT) sampling
- [paper] [Github]
- Performance
- Rank-1 (Market1501) : 62.2(Single query, source domain : DukeMTMC) / 56.8(Single query, source domain : CUHK03)
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"Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns"
- [paper] [Github]
- Performance
- Rank-1 (Market1501) : 60.7(source domain : CUHK01) / 59.2(source domain : VIPeR) / 58.2(source domain : GRID)
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- Performance
- Rank-1 (Market1501) : 58.2(source domain : DukeMTMC)
"Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification"
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- Performance
- Rank-1 (Market1501) : 35.5
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- Performance
- Rank-1 (Market1501) : 51.5(Multiple query) / 40.9(Single query)
"SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-based Decisions in Person Re-identification Systems"
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"Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association"
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- Summary
- Two stream network (Appearance map extractor, Part map extractor-OpenPose)
- Aggregator : bilinear pooling (better than concat + Ave. pool + linear)
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"Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)"
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"A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking"
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"Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding"
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"Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints"
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"Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras"
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"Spindle Net: Person Re-Identification With Human Body Region Guided Feature Decomposition and Fusion"
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"See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification"
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"Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment"
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"Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification"
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These are papers that search for "gait" and "person re-identification" in google scholar.
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"Person Re-identification using View-dependent Score-level Fusion of Gait and Color Features", ICPR 2012
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"A Hierarchical Method Combining Gait and Phase of Motion with Spatiotemporal Model for Person Re-identification", Pattern Recognition Letters 2012
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"A Spatio-temporal Appearance Representation for Video-based Pedestrian Re-identification", ICCV 2015
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"Towards view-point invariant Person Re-identification via fusion of Anthropometric and Gait Features from Kinect measurements", VISAPP 2017
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"Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image", ICACIVS 2016
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- Rank-1 (Market1501) : 38.6(source domain : DukeMTMC)
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