RGB-infrared cross-modality person re-identification

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Occluded person re-identification with deep learning: a survey and perspectives

E Ning, C Wang, H Zhang, X Ning, P Tiwari - Expert systems with …, 2024 - Elsevier
Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …
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A review of multimodal image matching: Methods and applications

X Jiang, J Ma, G ** cameras. With the advancement of deep neural networks and increasing …
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[PDF] arxiv.org

Dynamic dual-attentive aggregation learning for visible-infrared person re-identification

M Ye, J Shen, D J. Crandall, L Shao, J Luo - Computer Vision–ECCV 2020 …, 2020 - Springer
Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality pedestrian
retrieval problem. Due to the large intra-class variations and cross-modality discrepancy with …
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Structure-aware positional transformer for visible-infrared person re-identification

C Chen, M Ye, M Qi, J Wu, J Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Visible-infrared person re-identification (VI-ReID) is a cross-modality retrieval problem,
which aims at matching the same pedestrian between the visible and infrared cameras. Due …
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Learning by aligning: Visible-infrared person re-identification using cross-modal correspondences

H Park, S Lee, J Lee, B Ham - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
We address the problem of visible-infrared person re-identification (VI-reID), that is,
retrieving a set of person images, captured by visible or infrared cameras, in a cross-modal …
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