+ Semantic image segmentation is one of the most widely studied problems in computer vision and image analysis with applications in autonomous driving, 3D reconstruction, medical imaging, image generation, etc.
+ State-of-the-art approaches for semantic segmentation are predominantly based on Convolutional Neural Networks (CNN).
+ Recently, dramatic improvements in performance and inference speed have been driven by new architectural designs