mlsanityData to 7 Oct 2026

Gallery Filter Network for Person Search

arXiv 2210.12903 ↗First posted 24 Oct 2022cs.CVcited by 8

Not on the map. Why?

Abstract (arXiv)

In person search, we aim to localize a query person from one scene in other gallery scenes. The cost of this search operation is dependent on the number of gallery scenes, making it beneficial to reduce the pool of likely scenes. We describe and demonstrate the Gallery Filter Network (GFN), a novel module which can efficiently discard gallery scenes from the search process, and benefit scoring for persons detected in remaining scenes. We show that the GFN is robust under a range of different conditions by testing on different retrieval sets, including cross-camera, occluded, and low-resolution scenarios. In addition, we develop the base SeqNeXt person search model, which improves and simplifies the original SeqNet model. We show that the SeqNeXt+GFN combination yields significant performance gains over other state-of-the-art methods on the standard PRW and CUHK-SYSU person search datasets. To aid experimentation for this and other models, we provide standardized tooling for the data processing and evaluation pipeline typically used for person search research.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 34 of its 45 references that are in the map. First posted on arXiv 24 Oct 2022.

Builds on

34 of 45 references.

References · 34

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  4. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  5. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 11,979
  6. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  7. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
  8. 2018Representation Learning with Contrastive Predictive Codingcited by 7,662
  9. 2017Mask R-CNNcited by 7,259
  10. 2016Feature Pyramid Networks for Object Detectioncited by 5,021
  11. 2017Squeeze-and-Excitation Networkscited by 4,763
  12. 2022A ConvNet for the 2020scited by 3,545
22 more
  1. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,833
  2. 2019FCOS: Fully Convolutional One-Stage Object Detectioncited by 1,573
  3. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,275
  4. 2021PVT v2: Improved Baselines with Pyramid Vision Transformercited by 749
  5. 2018Albumentations: fast and flexible image augmentationscited by 558
  6. 2018Tune: A Research Platform for Distributed Model Selection and Trainingcited by 395
  7. 2016Joint Detection and Identification Feature Learning for Person Searchcited by 190
  8. 2016Person Re-identification in the Wildcited by 157
  9. 2019Learning Context Graph for Person Searchcited by 55
  10. 2018Person Search via A Mask-Guided Two-Stream CNN Modelcited by 44
  11. 2021Anchor-Free Person Searchcited by 42
  12. 2019Re-ID Driven Localization Refinement for Person Searchcited by 41
  13. 2019Query-guided End-to-End Person Searchcited by 40
  14. 2021Sequential End-to-end Network for Efficient Person Searchcited by 38
  15. 2018Person Search by Multi-Scale Matchingcited by 36
  16. 2017Neural Person Search Machinescited by 35
  17. 2022Cascade Transformers for End-to-End Person Searchcited by 31
  18. 2020Robust Partial Matching for Person Search in the Wildcited by 30
  19. 2017IAN: The Individual Aggregation Network for Person Searchcited by 29
  20. 2022PSTR: End-to-End One-Step Person Search With Transformerscited by 26
  21. 2021Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Searchcited by 19
  22. 2020Diverse Knowledge Distillation for End-to-End Person Searchcited by 16

Built on by

Cited by year

Citing papers per year: 2023: 3; 2024: 3; 2025: 2.

8 papers.

  1. 2023Ground-to-Aerial Person Search: Benchmark Dataset and Approachcited by 9
  2. 2023PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinementcited by 2
  3. 2024Scene-Adaptive Person Search via Bilateral Modulationscited by 2
  4. 2024Unsupervised Domain Adaptive Person Search via Dual Self-Calibrationcited by 1
  5. 2025Leveraging Prior Knowledge of Diffusion Model for Person Searchcited by 1
  6. 2023Generalizable Person Search on Open-world User-Generated Video Contentcited by 0
  7. 2024Swap Path Network for Robust Person Search Pre-trainingcited by 0
  8. 2025Transformer-Based Person Search with High-Frequency Augmentation and Multi-Wave Mixingcited by 0