Awesome-ReIDΒΆ

Here is a collection of ReID-related research with links to papers and code. You are welcome to submit PRs if you find something missing.

  • [TPAMI21] Learning Generalisable Omni-Scale Representations for Person Re-Identification [paper][code]

  • [TPAMI21] Deep Learning for Person Re-identification: A Survey and Outlook [paper] [code]

  • [ICCV19] RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. [paper] [code]

  • [ICCV19] Unsupervised Graph Association for Person Re-identification. [paper] [code]

  • [ICCV19] Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification. [paper] [code]

  • [ICCV19] Spectral Feature Transformation for Person Re-Identification. [paper] [code]

  • [ICCV19] Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. [paper] [code]

  • [ICCV19] Co-segmentation Inspired Attention Networks for Video-based Person Re-identification. [paper][code]

  • [ICCV19] Mixed High-Order Attention Network for Person Re-Identification. [paper][code]

  • [ICCV19] ABD-Net: Attentive but Diverse Person Re-Identification. [paper] [code]

  • [ICCV19] Omni-Scale Feature Learning for Person Re-Identification. [paper] [code]

  • [CVPR19] Joint Discriminative and Generative Learning for Person Re-identification. [paper][code]

  • [CVPR19] Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. [paper][code]

  • [CVPR19] Dissecting Person Re-identification from the Viewpoint of Viewpoint. [paper][code]

  • [CVPR19] Unsupervised Person Re-identification by Soft Multilabel Learning. [paper][code]

  • [CVPR19] Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification. [paper][code]

  • [AAAI19] Spatial and Temporal Mutual Promotion for Video-based Person Re-identification. [paper][code]

  • [AAAI19] Spatial-Temporal Person Re-identification. [paper][code]

  • [AAAI19] Horizontal Pyramid Matching for Person Re-identification. [paper][code]

  • [AAAI19] Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-identification. [paper][code]

  • [AAAI19] A Bottom-Up Clustering Approach to Unsupervised Person Re-identification. [paper][code]

  • [NIPS18] FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification. [paper][code]

  • [ECCV18] Generalizing A Person Retrieval Model Hetero- and Homogeneously. [paper][code]

  • [ECCV18] Pose-Normalized Image Generation for Person Re-identification. [paper][code]

  • [CVPR18] Camera Style Adaptation for Person Re-Identification. [paper][code]

  • [CVPR18] Deep Group-Shuffling Random Walk for Person Re-Identification. [paper][code]

  • [CVPR18] End-to-End Deep Kronecker-Product Matching for Person Re-identification. [paper][code]

  • [CVPR18] Features for Multi-Target Multi-Camera Tracking and Re-Identification. [paper][code]

  • [CVPR18] Group Consistent Similarity Learning via Deep CRF for Person Re-Identification. [paper][code]

  • [CVPR18] Harmonious Attention Network for Person Re-Identification. [paper][code]

  • [CVPR18] Human Semantic Parsing for Person Re-Identification. [paper][code]

  • [CVPR18] Multi-Level Factorisation Net for Person Re-Identification. [paper][code]

  • [CVPR18] Resource Aware Person Re-identification across Multiple Resolutions. [paper][code]

  • [CVPR18] Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning. [paper][code]

  • [ArXiv18] Revisiting Temporal Modeling for Video-based Person ReID. [paper][code]