机译:通过多实例联合重新学习进行显着对象检测
Beihang Univ Qingdao Res Inst Qingdao 266100 Peoples R China;
Beihang Univ Qingdao Res Inst Qingdao 266100 Peoples R China|Qingdao Univ Qingdao 266071 Peoples R China;
Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China;
Qingdao Univ Qingdao 266071 Peoples R China;
Beihang Univ Qingdao Res Inst Qingdao 266100 Peoples R China|Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China;
SUNY Stony Brook Stony Brook NY 11794 USA;
Feature extraction; Object detection; Saliency detection; Visualization; Deep learning; Correlation; Topology; Salient Object Detection Inter-image Corres-pondence; Multiple Instance Learning; Joint Re-Learning;
机译:对象实例识别的突出对象检测和图像匹配的组合
机译:使用对象性和多个显着性线索的基于图模型的显着对象检测
机译:通过多个显着权重进行显着物体检测
机译:回顾显着对象检测:同时检测,排序和细分多个显着对象
机译:用于对象检测的分层多实例学习。
机译:Web图像中显着对象的分布及其对显着对象检测的影响
机译:重新求突出对象检测:多个突出对象的同时检测,排名和副化