Deep semantic segmentation in skin detection

Deep semantic segmentation is a task that identifies objects and their boundaries in images, to do that a classification task is performed at the pixel level to tag whether a pixel belongs to an object. In skin detection, areas of images are classified as skin or non-skin regions. In this work, we report a short survey of the recent literature covering the task to help researchers in selecting the most suitable method for their application and to expand the knowledge about the available datasets for this topic. A compact empirical evaluation comparing recent models and a new ensemble model is reported.