网络设计模式总结如下几点

Representative network design patterns include: (i) Symmetric high-to-low and low-to-high processes. Hourglass and its follow-ups [40, 14, 77, 31] design the low-to-high process as a mirror of the high-to-low process. (ii) Heavy high-to-low and light low-to-high. The high-to-low process is based on the ImageNet classification network, e.g.,ResNet adopted in [11, 72], and the low-to-high process is simply a few bilinear-upsampling [11] or transpose convolution [72] layers. (iii) Combination with dilated convolutions. In [27, 51, 35], dilated convolutions are adopted in the last two stages in the ResNet or VGGNet to eliminate the spatial resolution loss, which is followed by a light lowto-high process to further increase the resolution, avoiding expensive computation cost for only using dilated convolutions [11, 27, 51]. Figure 2 depicts four representative pose estimation networks.Representative network design patterns