… has been greatly improved by using deep learning … efforts on deep-learning-based semantic
segmentation methods. We … of semantic segmentation research in the deep learning era. …

… [53] lists a variety of deep learning–based segmentation techniques. They have tabulated …
of some of the best image segmentation techniques using deep learning, whereas our focus is …

… semantic segmentation and present their network structures and key ideas. This section
also … deep learning architectures that are not directly applicable to semantic segmentation …

… As we mentioned before, recent deep neural networks for semantic segmentation have the
disadvantage: the operating process based on huge floating points counting and needing a …

… In this paper, general information about the deep learning approach which is attracted …
machine learning is given in recent years and an application about semantic image segmentation …

… Abstract—Semantic segmentation tasks can be well modeled by Markov Random Field (MRF).
This paper addresses semantic segmentation by incorporating high-order relations and …

… Due to recent advancements in deep learning, … , the semantic segmentation problem is
explored from the perspective of automated driving. Most of the current semantic segmentation …

… segmentation with CNN. Next, we present several data sets that are often used in image
segmentation experiments. Finally, these deep learning algorithms of image segmentation are …

… grained image classification approaches. Besides, the deep learning based semantic
segmentation … networks based approaches for semantic segmentation are introduced respectively. …

… The main benefit of semantic segmentation is situation … , doing semantic segmentation
correctly is crucial for scene understanding [9]. The more we perform semantic segmentation with …