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

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...

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Main Authors: Qian, Xiaohong, Lin, Xingyang, Yu, Lu, Zhou, Wujie
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2023
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在線閱讀:https://hdl.handle.net/10356/171471
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