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...
Saved in:
Main Authors: | , , , |
---|---|
其他作者: | |
格式: | Article |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/171471 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|