机译:基于双关注网络的对象计数方法
Yanshan Univ Sch Informat Sci & Engn Qinhuangdao 066004 Hebei Peoples R China|Key Lab Comp Virtual Technol & Syst Integrat Hebe Qinhuangdao 066004 Hebei Peoples R China;
Yanshan Univ Sch Informat Sci & Engn Qinhuangdao 066004 Hebei Peoples R China;
Yanshan Univ Sch Informat Sci & Engn Qinhuangdao 066004 Hebei Peoples R China|Key Lab Comp Virtual Technol & Syst Integrat Hebe Qinhuangdao 066004 Hebei Peoples R China;
feature extraction; image processing; learning (artificial intelligence); traffic engineering computing; regression analysis; image representation; object counting method; dual attention network; spatial attention mechanism; pyramid structure; atrous pyramid attention module; precise dense multiscale features; global attention feature module; feature representation; channel attention mechanism; designed modules;
机译:反向关注的损失对象检测的残余网络
机译:每一刻都很重要:对象边界的平滑过渡反映出基于对象的注意力不断更新
机译:超越计数:点监督注意力导向神经网络用于拥挤物体定位
机译:CRANET:级联残差关注人群计数
机译:使用远程图像和基于对象的图像方法对露天容器育苗场中的植物进行计数。
机译:基于注意力机制的双卷积神经网络预测疾病相关lncRNA基因的方法
机译:基于KeyPoint的对象检测方法,具有宽双路骨干网和注意模块