mlsanityData to 7 Oct 2026

Exploring Visual Context for Weakly Supervised Person Search

arXiv 2106.10506 ↗First posted 19 Jun 2021cs.CVcited by 16

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Abstract (arXiv)

Person search has recently emerged as a challenging task that jointly addresses pedestrian detection and person re-identification. Existing approaches follow a fully supervised setting where both bounding box and identity annotations are available. However, annotating identities is labor-intensive, limiting the practicability and scalability of current frameworks. This paper inventively considers weakly supervised person search with only bounding box annotations. We proposed to address this novel task by investigating three levels of context clues (i.e., detection, memory and scene) in unconstrained natural images. The first two are employed to promote local and global discriminative capabilities, while the latter enhances clustering accuracy. Despite its simple design, our CGPS achieves 80.0% in mAP on CUHK-SYSU, boosting the baseline model by 8.8%. Surprisingly, it even achieves comparable performance with several supervised person search models. Our code is available at https://github.com/ljpadam/CGPS

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 41 of its 63 references that are in the map. First posted on arXiv 19 Jun 2021.

Builds on

41 of 63 references.

References · 41

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29 more
  1. 2020Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identificationcited by 214
  2. 2020Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-IDcited by 212
  3. 2016Joint Detection and Identification Feature Learning for Person Searchcited by 190
  4. 2017Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identificationcited by 168
  5. 2016Person Re-identification in the Wildcited by 157
  6. 2019Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identificationcited by 133
  7. 2020Unsupervised Person Re-identification via Multi-label Classificationcited by 107
  8. 2018Modeling Visual Context is Key to Augmenting Object Detection Datasetscited by 106
  9. 2019Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identificationcited by 83
  10. 2020AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identificationcited by 81
  11. 2020Unsupervised Person Re-identification via Softened Similarity Learningcited by 75
  12. 2020Detection in Crowded Scenes: One Proposal, Multiple Predictionscited by 59
  13. 2019Unsupervised Tracklet Person Re-Identificationcited by 55
  14. 2019Learning Context Graph for Person Searchcited by 55
  15. 2018Person Search via A Mask-Guided Two-Stream CNN Modelcited by 44
  16. 2021Anchor-Free Person Searchcited by 42
  17. 2019Re-ID Driven Localization Refinement for Person Searchcited by 41
  18. 2019Query-guided End-to-End Person Searchcited by 40
  19. 2021Sequential End-to-end Network for Efficient Person Searchcited by 38
  20. 2018Person Search by Multi-Scale Matchingcited by 36
  21. 2017Neural Person Search Machinescited by 35
  22. 2020Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identificationcited by 31
  23. 2017IAN: The Individual Aggregation Network for Person Searchcited by 29
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  25. 2019SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identificationcited by 17
  26. 2020Unity Style Transfer for Person Re-Identificationcited by 17
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Cited by year

Citing papers per year: 2021: 1; 2022: 2; 2023: 6; 2024: 6; 2025: 1.

16 papers.

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  1. 2022Domain Adaptive Person Searchcited by 7
  2. 2023Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Searchcited by 7
  3. 2021MovieNet-PS: A Large-Scale Person Search Dataset in the Wildcited by 4
  4. 2023Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Searchcited by 4
  5. 2022CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Searchcited by 3
  6. 2024Domain Generalizable Person Search Using Unreal Datasetcited by 2
  7. 2024Prompting Continual Person Searchcited by 2
  8. 2023LEAPS: End-to-End One-Step Person Search With Learnable Proposalscited by 1
  9. 2023DDAM-PS: Diligent Domain Adaptive Mixer for Person Searchcited by 1
  10. 2024Fast One-Stage Unsupervised Domain Adaptive Person Searchcited by 1
  11. 2024Unsupervised Domain Adaptive Person Search via Dual Self-Calibrationcited by 1
  12. 2025SA-Person: Text-Based Person Retrieval with Scene-aware Re-rankingcited by 1
4 more
  1. 2023Domain Adaptive Person Search via GAN-based Scene Synthesis for Cross-scene Videoscited by 0
  2. 2023Generalizable Person Search on Open-world User-Generated Video Contentcited by 0
  3. 2024Lifelong Person Searchcited by 0
  4. 2024Swap Path Network for Robust Person Search Pre-trainingcited by 0