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CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation

arXiv 2402.14454 ↗First posted 22 Feb 2024cs.CVcited by 0

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Abstract (arXiv)

Long-term Person Re-Identification (LRe-ID) aims at matching an individual across cameras after a long period of time, presenting variations in clothing, pose, and viewpoint. In this work, we propose CCPA: Contrastive Clothing and Pose Augmentation framework for LRe-ID. Beyond appearance, CCPA captures body shape information which is cloth-invariant using a Relation Graph Attention Network. Training a robust LRe-ID model requires a wide range of clothing variations and expensive cloth labeling, which is lacked in current LRe-ID datasets. To address this, we perform clothing and pose transfer across identities to generate images of more clothing variations and of different persons wearing similar clothing. The augmented batch of images serve as inputs to our proposed Fine-grained Contrastive Losses, which not only supervise the Re-ID model to learn discriminative person embeddings under long-term scenarios but also ensure in-distribution data generation. Results on LRe-ID datasets demonstrate the effectiveness of our CCPA framework.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 21 of its 37 references that are in the map. First posted on arXiv 22 Feb 2024.

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21 of 37 references.

References · 21

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2017Graph Attention Networkscited by 8,854
  3. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
  4. 2017Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)cited by 472
  5. 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 292
  6. 2019Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identificationcited by 133
  7. 2022Clothes-Changing Person Re-identification with RGB Modality Onlycited by 98
  8. 2020Person Re-identification by Contour Sketch under Moderate Clothing Changecited by 91
  9. 2020Long-Term Cloth-Changing Person Re-identificationcited by 85
  10. 2019Relational Graph Attention Networkscited by 81
  11. 2017A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Rankingcited by 74
  12. 2018FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identificationcited by 70
9 more
  1. 2021Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularizationcited by 69
  2. 2020Joint Generative and Contrastive Learning for Unsupervised Person Re-identificationcited by 57
  3. 2018Attention-Aware Compositional Network for Person Re-identificationcited by 50
  4. 2018Unsupervised Person Re-identification by Deep Learning Tracklet Associationcited by 45
  5. 2019Person Re-identification in Aerial Imagerycited by 35
  6. 2020MEBOW: Monocular Estimation of Body Orientation In the Wildcited by 14
  7. 2018Multi-pseudo Regularized Label for Generated Data in Person Re-Identificationcited by 12
  8. 2021Pose-driven Attention-guided Image Generation for Person Re-Identificationcited by 11
  9. 2024Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identificationcited by 3

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