FASFLNet: feature adaptive selection and fusion lightweight network for RGB-D indoor scene parsing

• Main Authors: Qian, Xiaohong, Lin, Xingyang, Yu, Lu, Zhou, Wujie
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Lightweight Backbone Model; RGB-D
• Online Access: https://hdl.handle.net/10356/171471
• Institution: Nanyang Technological University

RGB-D indoor scene parsing is a challenging task in computer vision. Conventional scene-parsing approaches based on manual feature extraction have proved inadequate in this area because indoor scenes are both unordered and complex. This study proposes a feature adaptive selection, and fusion lightwe...