Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images

Targeting at depicting land covers with pixelwise semantic categories, semantic segmentation in remote sensing images needs to portray diverse distributions over vast geographical locations, which is difficult to be achieved by the homogeneous pixelwise forward paths in the architectures of existing deep models. Although specific algorithms have been designed to select pixelwise adaptive forward paths for natural image analysis, it still lacks …