机译:具有CompactAspp的快速X形前景分段网络
Zhenjiang Campus Army Military Transportation University of PLA Zhenjiang 212003 China Command and Control Engineering College Army Engineering University of PLA Nanjing 210007 China;
Command and Control Engineering College Army Engineering University of PLA Nanjing 210007 China;
Mathematical Engineering and Advanced Computing Jiangnan Institute of Computing Technology Wuxi 214083 China;
Xianlin Campus Nanjing Foreign Language School Nanjing 210046 China;
Command and Control Engineering College Army Engineering University of PLA Nanjing 210007 China;
Zhenjiang Campus Army Military Transportation University of PLA Zhenjiang 212003 China Command and Control Engineering College Army Engineering University of PLA Nanjing 210007 China;
Command and Control Engineering College Army Engineering University of PLA Nanjing 210007 China;
Command and Control Engineering College Army Engineering University of PLA Nanjing 210007 China;
Foreground segmentation; ASPP; Multi-scale feature representation; Atrous convolution;
机译:实时前景分割的降雨语义分段网络
机译:使用卷积神经网络进行前景分割以进行多尺度特征编码
机译:使用RGBD数据的高效快速多模态前景背景分割
机译:基于队列的快速背景建模和快速滞后阈值,可实现更好的前景分割
机译:使用简化的均值漂移滤波器和聚类将视频分割为背景和前景。
机译:深度特征同形变换融合网络— PTZ摄像机的通用前景分割算法和比较研究
机译:实时前景分割的降雨语义分段网络