FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions from Single Panoramas
Bruno Berenguel-Baeta,Jesus Bermudez-Cameo,Jose J. Guerrero,Bruno Berenguel-Baeta,Jesus Bermudez-Cameo,Jose J. Guerrero
In this work we present FreDSNet, a deep learning solution which obtains semantic 3D understanding of indoor environments from single panoramas. Omnidirectional images reveal task-specific advantages when addressing scene understanding problems due to the 360-degree contextual information about the entire environment they provide. However, the inherent characteristics of the omnidirectional images...
