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机译:无监督的图像显着性检测与格式 - 法律引导优化和基于视觉注意的改进
Univ Strathclyde Dept Elect &
Elect Engn Glasgow Lanark Scotland;
Univ Strathclyde Dept Elect &
Elect Engn Glasgow Lanark Scotland;
China Univ Petr East China Sch Geosci Qingdao Peoples R China;
Guangdong Polytech Normal Univ Sch Comp Sci Guangzhou Guangdong Peoples R China;
Northwestern Polytech Univ Sch Automat Xian Shaanxi Peoples R China;
Chinese Acad Sci Xian Inst Opt &
Precis Mech Xian Shaanxi Peoples R China;
Univ Strathclyde Dept Elect &
Elect Engn Glasgow Lanark Scotland;
Guangdong Polytech Normal Univ Sch Comp Sci Guangzhou Guangdong Peoples R China;
Background connectivity; Gestalt laws guided optimization; Image saliency detection; Feature fusion; Human vision perception;
机译:无监督的图像显着性检测与格式 - 法律引导优化和基于视觉注意的改进
机译:压缩域中的视觉注意力建模:从图像显着性检测到视频显着性检测
机译:视觉注意引导无监督特征学习,可在视网膜图像中进行可靠的血管描绘
机译:显着性检测的特征分解和注意引导边界细化
机译:从2D图像进行深度推断和视觉显着性检测。
机译:通过基于图的视觉显着性(GBVS)引导人脸注意
机译:根据多尺度视力粗融合的基于多尺度视力粗细融合,从远程感测图像中的无监督变化检测