机译:学习人群计数的多级密度图
Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China;
Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China;
Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China;
Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China;
Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China;
Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China;
Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China;
Zhejiang Univ Sch Comp Sci & Technol Hangzhou 310058 Zhejiang Peoples R China;
Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China;
Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China;
Cameras; Head; Estimation; Feature extraction; Switches; Training; Adaptation models; Balanced loss (BL); convolutional neural network (CNN); crowd counting; multi-level density maps;
机译:超越计数:人群分析任务的密度图比较-计数,检测和跟踪
机译:人群计数通过使用基于多级密度的空间信息:多级CNN框架
机译:逐次计数:使用人群密度映射上的网络流程用于跟踪多个目标
机译:通过与潜在高斯地图的多级回归计数人群
机译:深度学习根据高分辨率Cryo-EM密度图预测蛋白质骨架结构
机译:通过自适应学习计算具有透视扭曲校正的人群
机译:超越计数:人群分析任务的密度图比较 - 计数,检测和跟踪