mlsanityData to 14 Oct 2026

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

arXiv 1711.08565 ↗First posted 23 Nov 2017cs.CVcited by 480

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Abstract (arXiv)

Although the performance of person Re-Identification (ReID) has been significantly boosted, many challenging issues in real scenarios have not been fully investigated, e.g., the complex scenes and lighting variations, viewpoint and pose changes, and the large number of identities in a camera network. To facilitate the research towards conquering those issues, this paper contributes a new dataset called MSMT17 with many important features, e.g., 1) the raw videos are taken by an 15-camera network deployed in both indoor and outdoor scenes, 2) the videos cover a long period of time and present complex lighting variations, and 3) it contains currently the largest number of annotated identities, i.e., 4,101 identities and 126,441 bounding boxes. We also observe that, domain gap commonly exists between datasets, which essentially causes severe performance drop when training and testing on different datasets. This results in that available training data cannot be effectively leveraged for new testing domains. To relieve the expensive costs of annotating new training samples, we propose a Person Transfer Generative Adversarial Network (PTGAN) to bridge the domain gap. Comprehensive experiments show that the domain gap could be substantially narrowed-down by the PTGAN.

Key facts. Cited by 480 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Nov 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 125; 2022: 96; 2023: 85; 2024: 84; 2025: 58; 2026: 32.

480 papers.

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  1. 2021Domain Generalization: A Surveycited by 764
  2. 2021TransReID: Transformer-based Object Re-Identificationcited by 435
  3. 2023Video Understanding with Large Language Models: A Surveycited by 206
  4. 2022CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labelscited by 181
  5. 2021Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationcited by 114
  6. 2021Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identificationcited by 110
  7. 2021DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrievalcited by 102
  8. 2022Clothes-Changing Person Re-identification with RGB Modality Onlycited by 98
  9. 2023Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Taskscited by 96
  10. 2021Cluster Contrast for Unsupervised Person Re-Identificationcited by 89
  11. 2022Deep Unlearning via Randomized Conditionally Independent Hessianscited by 84
  12. 2022CLIP-Driven Fine-grained Text-Image Person Re-identificationcited by 79
38 more
  1. 2022Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identificationcited by 78
  2. 2021Generalizable Person Re-identification with Relevance-aware Mixture of Expertscited by 77
  3. 2023Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmarkcited by 75
  4. 2021ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identificationcited by 69
  5. 2021Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformercited by 68
  6. 2022See Finer, See More: Implicit Modality Alignment for Text-based Person Retrievalcited by 65
  7. 2022Learning Granularity-Unified Representations for Text-to-Image Person Re-identificationcited by 62
  8. 2022Unifying Short and Long-Term Tracking with Graph Hierarchiescited by 62
  9. 2022Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationcited by 59
  10. 2023UniHCP: A Unified Model for Human-Centric Perceptionscited by 59
  11. 2024State Space Model for New-Generation Network Alternative to Transformers: A Surveycited by 59
  12. 2021Group-aware Label Transfer for Domain Adaptive Person Re-identificationcited by 58
  13. 2021Lifelong Person Re-Identification via Adaptive Knowledge Accumulationcited by 57
  14. 2022Transferability in Deep Learning: A Surveycited by 57
  15. 2022NFormer: Robust Person Re-identification with Neighbor Transformercited by 57
  16. 2021Person Re-identification Method Based on Color Attack and Joint Defencecited by 56
  17. 2023Noisy-Correspondence Learning for Text-to-Image Person Re-identificationcited by 56
  18. 2021Recent Advances of Continual Learning in Computer Vision: An Overviewcited by 55
  19. 2021Intra-Inter Camera Similarity for Unsupervised Person Re-Identificationcited by 52
  20. 2021IDM: An Intermediate Domain Module for Domain Adaptive Person Re-IDcited by 51
  21. 2021GiT: Graph Interactive Transformer for Vehicle Re-identificationcited by 49
  22. 2023PLIP: Language-Image Pre-training for Person Representation Learningcited by 49
  23. 2021AAformer: Auto-Aligned Transformer for Person Re-Identificationcited by 48
  24. 2021Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmarkcited by 47
  25. 2023Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructionscited by 46
  26. 2021Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identificationcited by 45
  27. 2022Cross Attention Based Style Distribution for Controllable Person Image Synthesiscited by 45
  28. 2021Combined Depth Space based Architecture Search For Person Re-identificationcited by 44
  29. 2021Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identificationcited by 44
  30. 2022Deep Frequency Filtering for Domain Generalizationcited by 43
  31. 2021Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Methodcited by 42
  32. 2021Anchor-Free Person Searchcited by 42
  33. 2021Feature Erasing and Diffusion Network for Occluded Person Re-Identificationcited by 42
  34. 2022Large-Scale Pre-training for Person Re-identification with Noisy Labelscited by 41
  35. 2021HAT: Hierarchical Aggregation Transformers for Person Re-identificationcited by 39
  36. 2022Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Searchcited by 38
  37. 2022Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifoldcited by 38
  38. 2023HumanBench: Towards General Human-centric Perception with Projector Assisted Pretrainingcited by 38

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