Unsupervised Person Re-Identification

Benchmarks archive 2025-07-28

19 leaderboard tables shown for this task, 19 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 19 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

11 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 62 papers with code (107 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.

• Joint Discriminative and Generative Learning for Person Re-identification
  15 Apr 2019 12 repositories listed Syntology ran 3 of 19 samples · 16 unverified
  To this end, we propose a joint learning framework that couples re-id learning and data generation end-to-end.
• Learning Generalisable Omni-Scale Representations for Person Re-Identification
  15 Oct 2019 9 repositories listed Syntology ran 6 of 9 samples · 3 unverified · 6 pointer-only (licence)
  An effective person re-identification (re-ID) model should learn feature representations that are both discriminative, for distinguishing similar-looking people, and generalisable, for deployment across datasets without…
• Cluster Contrast for Unsupervised Person Re-Identification
  22 Mar 2021 4 repositories listed Syntology ran 7 of 14 samples · 7 unverified
  Thus, our method can solve the problem of cluster inconsistency and be applicable to larger data sets.
• Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
  23 Nov 2021 3 repositories listed Syntology ran 3 of 8 samples · 5 unverified · 8 pointer-only (licence)
  We first investigate self-supervised learning (SSL) methods with Vision Transformer (ViT) pretrained on unlabelled person images (the LUPerson dataset), and empirically find it significantly surpasses ImageNet…
• Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
  4 Jun 2020 3 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  To solve these problems, we propose a novel self-paced contrastive learning framework with hybrid memory.
• Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
  14 Mar 2020 3 repositories listed
  To tackle the challenges, we propose an end-to-end structured domain adaptation framework with an online relation-consistency regularization term.
• Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification
  6 Apr 2022 2 repositories listed
  To address this, in this work, an automatic approach is proposed to directly clone the whole outfits from real-world person images to virtual 3D characters, such that any virtual person thus created will appear very…
• Unsupervised Person Re-identification with Stochastic Training Strategy
  16 Aug 2021 2 repositories listed
  State-of-the-art unsupervised re-ID methods usually follow a clustering-based strategy, which generates pseudo labels by clustering and maintains a memory to store instance features and represent the centroid of the…
• Rethinking Sampling Strategies for Unsupervised Person Re-identification
  7 Jul 2021 2 repositories listed
  While extensive research has focused on the framework design and loss function, this paper shows that sampling strategy plays an equally important role.
• Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
  16 Dec 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In this context, we propose a mesh-based view generator.
• Weakly supervised discriminative feature learning with state information for person identification
  27 Feb 2020 2 repositories listed
  We evaluate our model on unsupervised person re-identification and pose-invariant face recognition.
• Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
  6 Jan 2020 2 repositories listed Syntology ran 8 of 8 samples · 0 unverified
  In order to mitigate the effects of noisy pseudo labels, we propose to softly refine the pseudo labels in the target domain by proposing an unsupervised framework, Mutual Mean-Teaching (MMT), to learn better features…
• TCMM: Token Constraint and Multi-Scale Memory Bank of Contrastive Learning for Unsupervised Person Re-identification
  15 Jan 2025 1 repository listed
  This paper proposes the ViT Token Constraint and Multi-scale Memory bank (TCMM) method to address the patch noises and feature inconsistency in unsupervised person re-identification works.
• 3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-Identification
  18 Aug 2024 1 repository listed
  In order to reduce potential misguidance, including feature bias, noise pseudo-labels and invalid hard samples, accumulated during the learning process, in this pa per, a confidence-guided clustering and contrastive…
• CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-Identification
  3 Jun 2024 1 repository listed
  The proposed framework ensures clarity in fusion features, avoids ambiguity, and achieves high accuracy in terms of Mean Average Precision, Top-1, Top-5, and Top-10, positioning it as an advanced and effective solution…
• Camera-aware Label Refinement for Unsupervised Person Re-identification
  25 Mar 2024 1 repository listed
  Unsupervised person re-identification aims to retrieve images of a specified person without identity labels.
• CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification
  17 Nov 2023 1 repository listed Syntology ran 5 of 10 samples · 5 unverified
  In particular, Jaccard distance calculates the distance based on the overlap of relevant neighbors.
• Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification
  26 Oct 2023 1 repository listed
  Although prompt learning has enabled a recent work named CLIP-ReID to achieve promising performance, the underlying mechanisms and the necessity of prompt learning remain unclear due to the absence of semantic labels in…
• Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification
  24 Jul 2023 1 repository listed
  Then a hierarchical meta-prototype contrastive learning model is proposed to cluster and contrast the most typical skeleton features ("prototypes") from different-level skeletons.
• SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change
  23 May 2023 1 repository listed
  In this paper, we address a highly challenging yet critical task: unsupervised long-term person re-identification with clothes change.
• Pseudo Labels Refinement with Intra-camera Similarity for Unsupervised Person Re-identification
  25 Apr 2023 1 repository listed
  Unsupervised person re-identification (Re-ID) aims to retrieve person images across cameras without any identity labels.
• Learning Transferable Pedestrian Representation from Multimodal Information Supervision
  12 Apr 2023 1 repository listed
  Recent researches on unsupervised person re-identification~(reID) have demonstrated that pre-training on unlabeled person images achieves superior performance on downstream reID tasks than pre-training on ImageNet.
• Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identification
  13 Mar 2023 1 repository listed
  To address this problem, we propose a dynamic clustering and cluster contrastive learning (DCCC) method.
• Learning Invariance from Generated Variance for Unsupervised Person Re-identification
  2 Jan 2023 1 repository listed
  This work focuses on unsupervised representation learning in person re-identification (ReID).
• Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification
  22 Nov 2022 1 repository listed
  To this end, we build a dual-branch network architecture based upon a modified Vision Transformer (ViT).
• Skeleton Prototype Contrastive Learning with Multi-Level Graph Relation Modeling for Unsupervised Person Re-Identification
  25 Aug 2022 1 repository listed
  Lastly, we propose a skeleton prototype contrastive learning scheme that clusters feature-correlative instances of unlabeled graph representations and contrasts their inherent similarity with representative skeleton…
• A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets
  6 May 2022 1 repository listed
  Combined with auxiliary information exploiting modules, our methods achieve mAP of 89.
• SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification
  21 Apr 2022 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  Specifically, to fully exploit skeleton features within each skeleton sequence, we first devise a masked prototype contrastive learning (MPC) scheme to cluster the most typical skeleton features (skeleton prototypes)…
• Implicit Sample Extension for Unsupervised Person Re-Identification
  14 Apr 2022 1 repository listed
  Specifically, we generate support samples from actual samples and their neighbouring clusters in the embedding space through a progressive linear interpolation (PLI) strategy.
• Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
  28 Mar 2022 1 repository listed Syntology ran 4 of 5 samples · 1 unverified
  In this paper, we propose a novel Part-based Pseudo Label Refinement (PPLR) framework that reduces the label noise by employing the complementary relationship between global and part features.

Syntology lines on 10 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.