Neural Feature Search for RGB-Infrared Person Re-Identification

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2021)

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摘要
RGB-Infrared person re-identification (RGB-IR ReID) is a challenging cross-modality retrieval problem, which aims at matching the person-of-interest over visible and infrared camera views. Most existing works achieve performance gains through manually-designed feature selection modules, which often require significant domain knowledge and rich experience. In this paper, we study a general paradigm...
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关键词
Computer vision,Manuals,Benchmark testing,Performance gain,Feature extraction,Search problems,Pattern recognition
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