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Person Re-Identification

arXiv 2204.13158 ↗First posted 27 Apr 2022cs.CVcited by 0

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Abstract (arXiv)

Person Re-Identification (Re-ID) is an important problem in computer vision-based surveillance applications, in which one aims to identify a person across different surveillance photographs taken from different cameras having varying orientations and field of views. Due to the increasing demand for intelligent video surveillance, Re-ID has gained significant interest in the computer vision community. In this work, we experiment on some existing Re-ID methods that obtain state of the art performance in some open benchmarks. We qualitatively and quantitaively analyse their performance on a provided dataset, and then propose methods to improve the results. This work was the report submitted for COL780 final project at IIT Delhi.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 17 of its 28 references that are in the map. First posted on arXiv 27 Apr 2022.

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17 of 28 references.

References · 17

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  4. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 11,979
  5. 2017Person Transfer GAN to Bridge Domain Gap for Person Re-Identificationcited by 479
  6. 2020End-to-End Video Instance Segmentation with Transformerscited by 443
  7. 2021TransReID: Transformer-based Object Re-Identificationcited by 432
  8. 2019Bag of Tricks and A Strong Baseline for Deep Person Re-identificationcited by 429
  9. 2020Circle Loss: A Unified Perspective of Pair Similarity Optimizationcited by 402
  10. 2019Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentationcited by 378
  11. 2016A Discriminatively Learned CNN Embedding for Person Re-identificationcited by 78
  12. 2018Deep Cosine Metric Learning for Person Re-Identificationcited by 73
5 more
  1. 2017AlignedReID: Surpassing Human-Level Performance in Person Re-Identificationcited by 61
  2. 2021On the Unreasonable Effectiveness of Centroids in Image Retrievalcited by 45
  3. 2016End-to-End Comparative Attention Networks for Person Re-identificationcited by 42
  4. 2021End-to-End Trainable Multi-Instance Pose Estimation with Transformerscited by 30
  5. 2021Person Re-Identification with a Locally Aware Transformercited by 19

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