Adaptively identify and refine ill-posed regions for accurate stereo matching.

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第一作者： Changlin,Liu

第一单位： Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China; School of Semiconductor Science and Technology, South China Normal University, Foshan, 528225, China. Electronic address: 2021023511@m.scnu.edu.cn.

作者： Changlin,Liu ^[1] ; Linjun,Sun ^[2] ; Xin,Ning ^[3] ; Jian,Xu ^[3] ; Lina,Yu ^[3] ; Kaijie,Zhang ^[4] ; Weijun,Li ^[5]

作者单位： Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China; School of Semiconductor Science and Technology, South China Normal University, Foshan, 528225, China. Electronic address: 2021023511@m.scnu.edu.cn. ^[1] Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China. Electronic address: sunlinjun@semi.ac.cn. ^[2] Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China. ^[3] School of Semiconductor Science and Technology, South China Normal University, Foshan, 528225, China. ^[4] Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China. Electronic address: wjli@semi.ac.cn. ^[5]

关键词 Feature refinement mechanism Ill-posed region Neural network Stereo matching

主题词算法(Algorithms);图像处理, 计算机辅助(Image Processing, Computer-Assisted);人类(Humans);模式识别, 自动(Pattern Recognition, Automated)

DOI 10.1016/j.neunet.2024.106394

PMID 38823070

发布时间 2024-08-12

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准确一般字义偏差语意偏离译文作用小提交