… 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 …

… 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 …

… segmentation network technique, are effective methods to automatically discover relevant …
get better image classification results. In this study, we exploited deep semantic segmentation …

… the data as per requirements, advanced deep learning models are required that must be …
The objective of this work is the semantic segmentation of PolSAR data using a deep learning …

… deep learning and knowledge-guided ontology reasoning for RS image semantic segmentation,
… It not only adopts the DSSN to learn the low-level and mid-level cues from RS images, …

… behind many structured machine learning models [20, 85], … semantic segmentation literature,
surprisingly little is understood about how to accommodate pixel recognition into semantic …

… Semantic segmentation is a classic and fundamental topic in … deep learning greatly promotes
the performance of semantic … For the final semantic segmentation prediction, we adopt …

… His current research focuses on computer vision and deep learning. … New York, since 2017.
His current research focuses on computer vision, deep learning, semantic segmentation, and …