mlsanityData to 14 Oct 2026

Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives

arXiv 2311.00603 ↗First posted 1 Nov 2023cs.CVcited by 13

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Abstract (arXiv)

Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent surveillance systems. Widespread occlusion significantly impacts the performance of person Re-ID. Occluded person Re-ID refers to a pedestrian matching method that deals with challenges such as pedestrian information loss, noise interference, and perspective misalignment. It has garnered extensive attention from researchers. Over the past few years, several occlusion-solving person Re-ID methods have been proposed, tackling various sub-problems arising from occlusion. However, there is a lack of comprehensive studies that compare, summarize, and evaluate the potential of occluded person Re-ID methods in detail. In this review, we start by providing a detailed overview of the datasets and evaluation scheme used for occluded person Re-ID. Next, we scientifically classify and analyze existing deep learning-based occluded person Re-ID methods from various perspectives, summarizing them concisely. Furthermore, we conduct a systematic comparison among these methods, identify the state-of-the-art approaches, and present an outlook on the future development of occluded person Re-ID.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 80 of its 148 references that are in the map. First posted on arXiv 1 Nov 2023.

Builds on

80 of 148 references.

References · 80

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  4. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  5. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,475
  6. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,248
  7. 2018Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentationcited by 3,223
  8. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  9. 2021Transformers in Vision: A Surveycited by 1,013
  10. 2018Dual Attention Network for Scene Segmentationcited by 1,003
  11. 2017End-to-end Recovery of Human Shape and Posecited by 885
  12. 2016Performance Measures and a Data Set for Multi-Target, Multi-Camera Trackingcited by 692
38 more
  1. 2018DensePose: Dense Human Pose Estimation In The Wildcited by 575
  2. 2020Deep Learning for Person Re-identification: A Survey and Outlookcited by 549
  3. 2017Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)cited by 473
  4. 2021TransReID: Transformer-based Object Re-Identificationcited by 435
  5. 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 295
  6. 2017Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitrocited by 281
  7. 2022Transformers in Medical Imaging: A Surveycited by 245
  8. 2018Harmonious Attention Network for Person Re-Identificationcited by 211
  9. 2016Person Re-identification: Past, Present and Futurecited by 181
  10. 2019A Strong Baseline and Batch Normalization Neck for Deep Person Re-identificationcited by 155
  11. 2020Identity-Guided Human Semantic Parsing for Person Re-Identificationcited by 118
  12. 2020Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identificationcited by 111
  13. 2020High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identificationcited by 106
  14. 2019RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignmentcited by 102
  15. 2018Human Semantic Parsing for Person Re-identificationcited by 100
  16. 2017Pose-driven Deep Convolutional Model for Person Re-identificationcited by 86
  17. 2018Dissecting Person Re-identification from the Viewpoint of Viewpointcited by 83
  18. 2018Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmarkcited by 79
  19. 2017A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Rankingcited by 74
  20. 2018Occluded Person Re-identificationcited by 72
  21. 2020Pose-guided Visible Part Matching for Occluded Person ReIDcited by 70
  22. 2021Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformercited by 68
  23. 2021Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondencescited by 66
  24. 2018Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approachcited by 58
  25. 2018Densely Semantically Aligned Person Re-Identificationcited by 58
  26. 2020Joint Generative and Contrastive Learning for Unsupervised Person Re-identificationcited by 58
  27. 2019Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identificationcited by 56
  28. 2019Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identificationcited by 55
  29. 2018Attention-Aware Compositional Network for Person Re-identificationcited by 50
  30. 2021Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identificationcited by 44
  31. 2022Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysiscited by 44
  32. 2021Feature Erasing and Diffusion Network for Occluded Person Re-Identificationcited by 42
  33. 2018Re-Identification with Consistent Attentive Siamese Networkscited by 40
  34. 2017Neural Person Search Machinescited by 35
  35. 2021AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identificationcited by 34
  36. 2020Parameter-Efficient Person Re-identification in the 3D Spacecited by 33
  37. 2020Robust Partial Matching for Person Search in the Wildcited by 30
  38. 2021Feature Completion for Occluded Person Re-Identificationcited by 30

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Citing papers per year: 2024: 5; 2025: 6; 2026: 2.

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  1. 2024Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Networkcited by 15
  2. 2025Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentationcited by 14
  3. 2026Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspectivecited by 8
  4. 2025Learning Multi-scale Spatial-frequency Features for Image Denoisingcited by 7
  5. 2024Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosiscited by 5
  6. 2025TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identificationcited by 4
  7. 2025Background Matters Too: A Language-Enhanced Adversarial Framework for Person Re-Identificationcited by 1
  8. 2024Mask Guided Gated Convolution for Amodal Content Completioncited by 0
  9. 2024Towards Global Localization using Multi-Modal Object-Instance Re-Identificationcited by 0
  10. 2024Track Anything Behind Everything: Zero-Shot Amodal Video Object Segmentationcited by 0
  11. 2025Evolution of ReID: From Early Methods to LLM Integrationcited by 0
  12. 2025KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videoscited by 0
1 more
  1. 2026Phys-3D: Physics-Constrained Real-Time Crowd Tracking and Counting on Railway Platformscited by 0