Deep Semantic Segmentation Models in Computer Vision

Recently, deep learning models have had a huge impact on computer vision applications, in particular in semantic segmentation, in which many challenges are open. As an example, the lack of large annotated datasets implies the need for new semi-supervised and unsupervised techniques. This problem is particularly relevant in the medical field due to privacy issues and high costs of image tagging by medical experts. The aim of this tutorial overview paper is to provide a short overview of the recent results and advances regarding deep learning applications in computer vision particularly for what concerns semantic segmentation.