  This paper gives an overview on semantic segmentation consists of an
explanation of this field, it's status and relation with other vision
fundamental tasks, different datasets and common evaluation parameters that
have been used by researchers. This survey also includes an overall review on a
variety of recent approaches (RDF, MRF, CRF, etc.) and their advantages and
challenges and shows the superiority of CNN-based semantic segmentation systems
on CamVid and NYUDv2 datasets. In addition, some areas that is ideal for future
work have mentioned.
