Occluded Person Re-Identification

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23 shown of 23 papers with code (46 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.

• Body Part-Based Representation Learning for Occluded Person Re-Identification
  7 Nov 2022 3 repositories listed
  Firstly, individual body part appearance is not as discriminative as global appearance (two distinct IDs might have the same local appearance), this means standard ReID training objectives using identity labels are not…
• Keypoint Promptable Re-Identification
  25 Jul 2024 2 repositories listed
  Inspired by recent work on prompting in vision, we introduce Keypoint Promptable ReID (KPR), a novel formulation of the ReID problem that explicitly complements the input bounding box with a set of semantic keypoints…
• Dynamic Prototype Mask for Occluded Person Re-Identification
  19 Jul 2022 2 repositories listed
  Although person re-identification has achieved an impressive improvement in recent years, the common occlusion case caused by different obstacles is still an unsettled issue in real application scenarios.
• High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
  18 Mar 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  When aligning two groups of local features from two images, we view it as a graph matching problem and propose a cross-graph embedded-alignment (CGEA) layer to jointly learn and embed topology information to local…
• ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification
  30 Sep 2024 1 repository listed
  To address the occlusion issues in person Re-Identification (ReID) tasks, many methods have been proposed to extract part features by introducing external spatial information.
• DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification
  31 Jan 2024 1 repository listed
  Unlike mainstream approaches using global features for simultaneous multi-task learning of ReID and human parsing, or relying on semantic information for attention guidance, DROP argues that the inferior performance of…
• Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identification
  15 Dec 2023 1 repository listed
  In addition, existing occluded person ReID benchmarks utilize occluded samples as queries, which will amplify the role of alleviating occlusion interference and underestimate the impact of the feature absence issue.
• Multi-view Information Integration and Propagation for Occluded Person Re-identification
  7 Nov 2023 1 repository listed
  Moreover, as multiple images with the same identity are not accessible in the testing stage, we devise an Information Propagation (IP) mechanism to distill knowledge from the comprehensive representation to that of a…
• Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification
  14 Jul 2023 1 repository listed
  Occlusion perturbation presents a significant challenge in person re-identification (re-ID), and existing methods that rely on external visual cues require additional computational resources and only consider the issue…
• Content-Adaptive Auto-Occlusion Network for Occluded Person Re-Identification
  5 Jul 2023 1 repository listed
  To address these challenges, we propose a novel Content-Adaptive Auto-Occlusion Network (CAAO), that is able to dynamically select the proper occlusion region of an image based on its content and the current training…
• Attention Map Guided Transformer Pruning for Edge Device
  4 Apr 2023 1 repository listed
  Then we combine the similarity and first-order gradients of key tokens along the query dimension for token importance estimation and remove redundant key and value tokens to further reduce the inference complexity.
• Learning Feature Recovery Transformer for Occluded Person Re-identification
  5 Jan 2023 1 repository listed
  To reduce the interference of the noise during feature matching, we mainly focus on visible regions that appear in both images and develop a visibility graph to calculate the similarity.
• Human Co-Parsing Guided Alignment for Occluded Person Re-identification
  20 Dec 2022 1 repository listed
  Most supervised methods propose to train an extra human parsing model aside from the ReID model with cross-domain human parts annotation, suffering from expensive annotation cost and domain gap; Unsupervised methods…
• Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
  27 Nov 2022 1 repository listed
  The framework mainly consists of a sparse encoder, a multi-view feature mathcing module, and a feature consolidation decoder.
• Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification
  11 Oct 2022 1 repository listed
  To alleviate these two issues, we propose a simple yet effective method with Parallel Augmentation and Dual Enhancement (PADE), which is robust on both occluded and non-occluded data and does not require any auxiliary…
• Feature Erasing and Diffusion Network for Occluded Person Re-Identification
  16 Dec 2021 1 repository listed
  With the guidance of the occlusion scores from OEM, the feature diffusion process is mainly conducted on visible body parts, which guarantees the quality of the synthesized NTP characteristics.
• Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
  5 Dec 2021 1 repository listed
  Therefore, we propose a transformer-based Pose-guided Feature Disentangling (PFD) method by utilizing pose information to clearly disentangle semantic components (e.
• Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification
  8 Sep 2021 1 repository listed
  Therefore, we propose a Pose-guided inter-and intra-part relational transformer (Pirt) for occluded person Re-Id, which builds part-aware long-term correlations by introducing transformers.
• Feature Completion for Occluded Person Re-Identification
  24 Jun 2021 1 repository listed
  Our method significantly outperforms existing methods on the occlusion datasets, while remains top even superior performance on holistic datasets.
• Holistic Guidance for Occluded Person Re-Identification
  13 Apr 2021 1 repository listed
  Hence, our proposed student-teacher framework is trained to address the occlusion problem by matching the distributions of between- and within-class distances (DCDs) of occluded samples with that of holistic…
• MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
  10 Aug 2020 1 repository listed
  This paper presents a novel person re-identification model, named Multi-Head Self-Attention Network (MHSA-Net), to prune unimportant information and capture key local information from person images.
• Pose-guided Visible Part Matching for Occluded Person ReID
  1 Apr 2020 1 repository listed
  Occluded person re-identification is a challenging task as the appearance varies substantially with various obstacles, especially in the crowd scenario.
• Pose-Guided Feature Alignment for Occluded Person Re-Identification
  1 Oct 2019 1 repository listed
  Our method largely outperforms existing person re-id methods on three occlusion datasets, while remains top performance on two holistic datasets.

Syntology lines on 1 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.