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Person Search with Natural Language Description

arXiv 1702.05729 ↗First posted 19 Feb 2017cs.CVcited by 149

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Abstract (arXiv)

Searching persons in large-scale image databases with the query of natural language description has important applications in video surveillance. Existing methods mainly focused on searching persons with image-based or attribute-based queries, which have major limitations for a practical usage. In this paper, we study the problem of person search with natural language description. Given the textual description of a person, the algorithm of the person search is required to rank all the samples in the person database then retrieve the most relevant sample corresponding to the queried description. Since there is no person dataset or benchmark with textual description available, we collect a large-scale person description dataset with detailed natural language annotations and person samples from various sources, termed as CUHK Person Description Dataset (CUHK-PEDES). A wide range of possible models and baselines have been evaluated and compared on the person search benchmark. An Recurrent Neural Network with Gated Neural Attention mechanism (GNA-RNN) is proposed to establish the state-of-the art performance on person search.

Key facts. Cited by 149 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Feb 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 17; 2022: 13; 2023: 33; 2024: 24; 2025: 39; 2026: 23.

149 papers.

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  1. 2022Open-Vocabulary DETR with Conditional Matchingcited by 220
  2. 2023Large-scale Multi-Modal Pre-trained Models: A Comprehensive Surveycited by 153
  3. 2023Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrievalcited by 131
  4. 2021Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identificationcited by 108
  5. 2021DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrievalcited by 102
  6. 2022ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similaritycited by 82
  7. 2022CLIP-Driven Fine-grained Text-Image Person Re-identificationcited by 79
  8. 2023Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmarkcited by 75
  9. 2022See Finer, See More: Implicit Modality Alignment for Text-based Person Retrievalcited by 65
  10. 2023What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?cited by 64
  11. 2022Learning Granularity-Unified Representations for Text-to-Image Person Re-identificationcited by 62
  12. 2021Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Searchcited by 60
38 more
  1. 2021TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Searchcited by 57
  2. 2023Noisy-Correspondence Learning for Text-to-Image Person Re-identificationcited by 55
  3. 2021Text-Based Person Search with Limited Datacited by 53
  4. 2023RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Searchcited by 53
  5. 2023PLIP: Language-Image Pre-training for Person Representation Learningcited by 49
  6. 2023Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructionscited by 46
  7. 2021Learning Semantic-Aligned Feature Representation for Text-based Person Searchcited by 40
  8. 2022CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrievalcited by 39
  9. 2022Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Searchcited by 38
  10. 2022Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifoldcited by 38
  11. 2023An Empirical Study of CLIP for Text-based Person Searchcited by 38
  12. 2021AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identificationcited by 34
  13. 2025Chat-Driven Text Generation and Interaction for Person Retrievalcited by 34
  14. 2023HAP: Structure-Aware Masked Image Modeling for Human-Centric Perceptioncited by 33
  15. 2023UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularitycited by 30
  16. 2025IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identificationcited by 27
  17. 2023Hulk: A Universal Knowledge Translator for Human-Centric Taskscited by 22
  18. 2024Transformer for Object Re-Identification: A Surveycited by 21
  19. 2023Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identificationcited by 19
  20. 2022Asymmetric Cross-Scale Alignment for Text-Based Person Searchcited by 18
  21. 2024All in One Framework for Multimodal Re-identification in the Wildcited by 18
  22. 2023Text-based Person Search without Parallel Image-Text Datacited by 17
  23. 2024PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discoverycited by 15
  24. 2026CONQUER: Context-Aware Representation with Query Enhancement for Text-Based Person Searchcited by 15
  25. 2024From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Searchcited by 14
  26. 2021ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizercited by 11
  27. 2023VGSG: Vision-Guided Semantic-Group Network for Text-based Person Searchcited by 11
  28. 2024MARS: Paying more attention to visual attributes for text-based person searchcited by 11
  29. 2024Beyond Walking: A Large-Scale Image-Text Benchmark for Text-based Person Anomaly Searchcited by 11
  30. 2025Dynamic Uncertainty Learning with Noisy Correspondence for Text-Based Person Searchcited by 11
  31. 2023CLIP-based Synergistic Knowledge Transfer for Text-based Person Retrievalcited by 10
  32. 2024Test-time Adaptation for Cross-modal Retrieval with Query Shiftcited by 10
  33. 2021Text-based Person Search in Full Images via Semantic-Driven Proposal Generationcited by 9
  34. 2021Benchmarks for Corruption Invariant Person Re-identificationcited by 9
  35. 2025DM-Adapter: Domain-Aware Mixture-of-Adapters for Text-Based Person Retrievalcited by 9
  36. 2025LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identificationcited by 9
  37. 2025Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identificationcited by 9
  38. 2023BiLMa: Bidirectional Local-Matching for Text-based Person Re-identificationcited by 8

50 most cited of 149 All 149 (JSON)