This repo is a collection of awesome things about Domain Adaptation ReID, including papers, code, etc. Feel free to star and fork.
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- Deep Learning for Person Re-identification: A Survey and Outlook.
TPAMI 2021[paper] [code] - Part-based Pseudo Label Refinement for Unsupervised Person Re-identification.
CVPR 2022[paper] [code]
- Test-Time Training with Self-Supervision for Generalization under Distribution Shifts.
ICML 2020[paper] - Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering.
NeurIPS 2022[paper] - Tent: Fully Test-Time Adaptation by Entropy Minimization.
ICLR 2021(spotlight)[paper]
- Source-Free Unsupervised Domain Adaptation: A Survey. [paper]
- ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation. [paper]
- Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation.
ICML 2020[paper [code] - Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer.
TPAMI 2021[paper] [code]
- Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
ICLR 2020[paper] [code] - Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.
NeurIPS 2020[paper] [code] - IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID.
ICCV 2021(Oral)[paper] [code] - Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains. [paper]
- Group-aware Label Transfer for Domain Adaptive Person Re-identification.
CVPR 2021[paper] - Divide-And-Regroup Clustering for Domain Adaptive Person Re-Identification.
AAAI 2022[paper] - Multi-Centroid Representation Network for Domain Adaptive Person Re-ID.
AAAI 2022[paper]
- Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption.
AAAI 2022[paper]