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

• المؤلفون الرئيسيون: Qian, Xiaohong, Lin, Xingyang, Yu, Lu, Zhou, Wujie
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Lightweight Backbone Model; RGB-D
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171471

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...