机译:基于图的突出物体检测的新颖优化框架(Vol 64C,PG 39,2017)
Southeast Univ Key Lab Measurement &
Control CSE Minist Educ Sch Automat Nanjing 210096 Jiangsu Peoples R China;
Brigham &
Womens Hosp Cambridge MA 02139 USA;
Southeast Univ Key Lab Measurement &
Control CSE Minist Educ Sch Automat Nanjing 210096 Jiangsu Peoples R China;
Southeast Univ Key Lab Measurement &
Control CSE Minist Educ Sch Automat Nanjing 210096 Jiangsu Peoples R China;
Nanjing Univ Sci &
Technol Key Lab Intelligent Percept &
Syst High Dimens In Minist Educ Nanjing 210094 Jiangsu Peoples R China;
机译:基于图的突出物体检测的新颖优化框架(Vol 64C,PG 39,2017)
机译:用于显着目标检测的新型优化框架
机译:显着袋:一种坚固突出物体检测的新框架
机译:通过基于图的灵活流形排序进行显着对象检测
机译:目标提议生成器用于显着目标检测的性能评估
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:突出对象检测:在深度学习框架中集成突出特征
机译:并行面向对象框架的优化