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Salient object detection in low-light RGB-T scene via spatial-frequency cues mining.

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第一作者： Huihui,Yue

第一单位： School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China. Electronic address: yuehuihui@tju.edu.cn.

作者： Huihui,Yue ^[1] ; Jichang,Guo ^[2] ; Xiangjun,Yin ^[3] ; Yi,Zhang ^[4] ; Sida,Zheng ^[5]

作者单位： School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China. Electronic address: yuehuihui@tju.edu.cn. ^[1] School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China. Electronic address: jcguo@tju.edu.cn. ^[2] School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China. Electronic address: yinxiangjun@tju.edu.cn. ^[3] School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China. Electronic address: zhangyi123@tju.edu.cn. ^[4] School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China. Electronic address: zhengsida@tju.edu.cn. ^[5]

关键词 Low-light scenes Multi-domain Multi-modality RGB-T salient object detection Spatial-frequency mining

医学主题词提示(Cues);人类(Humans);光(Light);视知觉(Visual Perception);光刺激(Photic Stimulation);算法(Algorithms)

DOI 10.1016/j.neunet.2024.106406

PMID 38838393

发布时间 2024-08-12

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