Semantic segmentation review

I'm excited to share with you an overview of semantic segmentation approaches! It has a lot of references to the classical and recent papers such as Fully Convolution Networks, U-Net, DeepLab, PSPNet, etc. and covers the most common and well-performing ways to build network architectures and do benchmarking.

Hope you'll find it useful!