FASFLNet: feature adaptive selection and fusion lightweight network for RGB-D indoor scene parsing.
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DOI: 10.1364/oe.480252
Abstract: 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… read more here.
Keywords: indoor scene; rgb indoor; rgb; feature ... See more keywords