Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems

Jeremy Morlier, Mathieu Leonardon, Vincent Gripon

Model compression is a critical area of research in deep learning, in particular in vision, driven by the need to lighten models memory or computational footprints. While numerous…