A CNN Architecture for Efficient Semantic Segmentation of Street Scenes
Davide Mazzini, Marco Buzzelli, Danilo Pietro Pau, Raimondo Schettini · 2018
We propose a novel modular CNN architecture that provides semantic segmentation and understanding of outdoor street environment images. Our solution processes a 512x1024 resolution image on a single Titan Xp GPU at 37.4 FPS attaining 70.4% IoU on the Cityscapes test dataset.