Abstract
Semantic segmentation aims at giving a class label for each pixel on the image according to its semantic meaning. This problem is one of the most challenging tasks in computer vision, and has received a lot of attention from the computer vision community. In particular, with the popularity of depth cameras, many researchers have used rich structural information of depth data to assist semantic segmentation. In this paper, we have conducted a concise review of RGB-D semantic segmentation methods, including traditional method and deep learning method. In addition, discussions on RGB-D semantic segmentation are also provided.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
