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Parameter Hierarchical Optimization for Visible-Infrared Person Re-Identification
April 12, 2024, 4:45 a.m. | Zeng YU, Yunxiao Shi
cs.CV updates on arXiv.org arxiv.org
Abstract: Visible-infrared person re-identification (VI-reID) aims at matching cross-modality pedestrian images captured by disjoint visible or infrared cameras. Existing methods alleviate the cross-modality discrepancies via designing different kinds of network architectures. Different from available methods, in this paper, we propose a novel parameter optimizing paradigm, parameter hierarchical optimization (PHO) method, for the task of VI-ReID. It allows part of parameters to be directly optimized without any training, which narrows the search space of parameters and makes …
abstract architectures arxiv cameras cs.ai cs.cv designing hierarchical identification images network novel optimization paper paradigm pedestrian person type via
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