人群密度估计--W-Net: Reinforced U-Net for Density Map Estimation/Dual Path Multi-Scale Fusion Networks wit

摘要:对U-net进行改造,引入了独立的解码增强分支

loss: BCE和MSE loss

人群密度估计--W-Net: Reinforced U-Net for Density Map Estimation/Dual Path Multi-Scale Fusion Networks wit

encoder 部分是vgg16,

decoder 部分是U-net,修改的通道数

branch 同decoder ,加个转一通道的1*1conv

idea 就是 用人群位置二值图来加强count branch,用U-net切割人群的思想。

人群密度估计--W-Net: Reinforced U-Net for Density Map Estimation/Dual Path Multi-Scale Fusion Networks wit

人群密度估计--W-Net: Reinforced U-Net for Density Map Estimation/Dual Path Multi-Scale Fusion Networks wit

人群密度估计--W-Net: Reinforced U-Net for Density Map Estimation/Dual Path Multi-Scale Fusion Networks wit

人群密度估计--W-Net: Reinforced U-Net for Density Map Estimation/Dual Path Multi-Scale Fusion Networks wit