A main challenge for tasks on panorama lies in the distortion of objects among images. In this work, we propose a Distortion-Aware Monocular Omnidirectional (DAMO) dense depth estimation network to address indoor panoramas with two steps. First, introduce distortion-aware module extract calibrated semantic features from omnidirectional Specifically, exploit deformable convolution adjust its sam...
