Semantic Segmentation Methods using Deep Learning

This document discusses semantic segmentation, which is the task of assigning each pixel in an image to a semantic class. It introduces semantic segmentation and provides a leader board of top performing models. It then details the results of various semantic segmentation models on benchmark datasets, including PSPNet, DeepLab v3+, and DeepLab v3. The models are evaluated based on metrics like mean intersection over union.