Domain Adaptive Person Re-Identification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (29 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
  5 Aug 2021 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
  To ensure these two properties to better characterize appropriate intermediate domains, we enforce the bridge losses on intermediate domains' prediction space and feature space, and enforce a diversity loss on the two…
• Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
  3 Jul 2020 2 repositories listed
  Often the best performing deep neural models are ensembles of multiple base-level networks, nevertheless, ensemble learning with respect to domain adaptive person re-ID remains unexplored.
• Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
  3 Apr 2019 2 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  To achieve this goal, an exemplar memory is introduced to store features of the target domain and accommodate the three invariance properties.
• Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
  21 Aug 2023 1 repository listed
  In this work, we propose a Color Prompting (CoP) method for data-free continual unsupervised domain adaptive person Re-ID.
• Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification
  28 Dec 2021 1 repository listed
  With the uncertainty-guided alternative optimization, we balance between the exploration of target domain data and the negative effects of noisy labeling.
• Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification
  11 May 2021 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  Specifically, given unlabeled training images, we apply teacher networks to extract corresponding features and further construct a teacher graph for each teacher network to describe the similarity relationships among…
• Group-aware Label Transfer for Domain Adaptive Person Re-identification
  23 Mar 2021 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  In this paper, we propose a Group-aware Label Transfer (GLT) algorithm, which enables the online interaction and mutual promotion of pseudo-label prediction and representation learning.
• Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
  26 Dec 2020 1 repository listed
  To this end, we propose a novel approach, called Dual-Refinement, that jointly refines pseudo labels at the off-line clustering phase and features at the on-line training phase, to alternatively boost the label purity…
• Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
  16 Dec 2020 1 repository listed
  Based on this finding, we propose to exploit the uncertainty (measured by consistency levels) to evaluate the reliability of the pseudo-label of a sample and incorporate the uncertainty to re-weight its contribution…
• Domain Adaptive Person Re-Identification via Coupling Optimization
  6 Nov 2020 1 repository listed
  Extensive experiments on three large-scale datasets, i.
• Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
  23 Jan 2020 1 repository listed
  The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.