mlsanityData to 14 Oct 2026

Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)

arXiv 1711.09349 ↗First posted 26 Nov 2017cs.CVcited by 473

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Abstract (arXiv)

Employing part-level features for pedestrian image description offers fine-grained information and has been verified as beneficial for person retrieval in very recent literature. A prerequisite of part discovery is that each part should be well located. Instead of using external cues, e.g., pose estimation, to directly locate parts, this paper lays emphasis on the content consistency within each part. Specifically, we target at learning discriminative part-informed features for person retrieval and make two contributions. (i) A network named Part-based Convolutional Baseline (PCB). Given an image input, it outputs a convolutional descriptor consisting of several part-level features. With a uniform partition strategy, PCB achieves competitive results with the state-of-the-art methods, proving itself as a strong convolutional baseline for person retrieval. (ii) A refined part pooling (RPP) method. Uniform partition inevitably incurs outliers in each part, which are in fact more similar to other parts. RPP re-assigns these outliers to the parts they are closest to, resulting in refined parts with enhanced within-part consistency. Experiment confirms that RPP allows PCB to gain another round of performance boost. For instance, on the Market-1501 dataset, we achieve (77.4+4.2)% mAP and (92.3+1.5)% rank-1 accuracy, surpassing the state of the art by a large margin.

Key facts. Cited by 473 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Nov 2017.

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Citing papers per year: 2021: 146; 2022: 96; 2023: 85; 2024: 77; 2025: 40; 2026: 29.

473 papers.

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  1. 2021TransReID: Transformer-based Object Re-Identificationcited by 435
  2. 2022CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labelscited by 181
  3. 2021Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformercited by 120
  4. 2021Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationcited by 114
  5. 2021Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identificationcited by 110
  6. 2021PartImageNet: A Large, High-Quality Dataset of Partscited by 107
  7. 2022Clothes-Changing Person Re-identification with RGB Modality Onlycited by 98
  8. 2021UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehiclescited by 96
  9. 2023Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Taskscited by 96
  10. 2022CLIP-Driven Fine-grained Text-Image Person Re-identificationcited by 79
  11. 2022Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identificationcited by 78
  12. 2021Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularizationcited by 69
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  1. 2021ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identificationcited by 69
  2. 2021Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformercited by 68
  3. 2021Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondencescited by 66
  4. 2022Body Part-Based Representation Learning for Occluded Person Re-Identificationcited by 64
  5. 2021Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identificationcited by 63
  6. 2021Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Searchcited by 62
  7. 2021Do Different Tracking Tasks Require Different Appearance Models?cited by 62
  8. 2022Learning Granularity-Unified Representations for Text-to-Image Person Re-identificationcited by 62
  9. 2022Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationcited by 59
  10. 2021TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Searchcited by 57
  11. 2022A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localizationcited by 57
  12. 2022NFormer: Robust Person Re-identification with Neighbor Transformercited by 57
  13. 2021Person Re-identification Method Based on Color Attack and Joint Defencecited by 56
  14. 2021Intra-Inter Camera Similarity for Unsupervised Person Re-Identificationcited by 52
  15. 2021IDM: An Intermediate Domain Module for Domain Adaptive Person Re-IDcited by 51
  16. 2021GiT: Graph Interactive Transformer for Vehicle Re-identificationcited by 49
  17. 2023PLIP: Language-Image Pre-training for Person Representation Learningcited by 49
  18. 2021AAformer: Auto-Aligned Transformer for Person Re-Identificationcited by 48
  19. 2021Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmarkcited by 47
  20. 2022GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021cited by 46
  21. 2023Exploring Deep Models for Practical Gait Recognitioncited by 46
  22. 2023Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructionscited by 46
  23. 2021Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identificationcited by 45
  24. 2024Cross-Modality Perturbation Synergy Attack for Person Re-identificationcited by 45
  25. 2021Combined Depth Space based Architecture Search For Person Re-identificationcited by 44
  26. 2021BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identificationcited by 44
  27. 2021Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identificationcited by 44
  28. 2022Simple Cues Lead to a Strong Multi-Object Trackercited by 44
  29. 2022Deep Frequency Filtering for Domain Generalizationcited by 43
  30. 2021Anchor-Free Person Searchcited by 42
  31. 2021Feature Erasing and Diffusion Network for Occluded Person Re-Identificationcited by 42
  32. 2022Large-Scale Pre-training for Person Re-identification with Noisy Labelscited by 41
  33. 2021HAT: Hierarchical Aggregation Transformers for Person Re-identificationcited by 39
  34. 2021VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wildcited by 39
  35. 2022CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrievalcited by 39
  36. 2021CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identificationcited by 38
  37. 2023HumanBench: Towards General Human-centric Perception with Projector Assisted Pretrainingcited by 38
  38. 2021Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identificationcited by 37

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