ShapeConv
ShapeConv
**ShapeConv**, or **Shape-aware Convolutional layer**, is a convolutional layer for processing the depth feature in indoor RGB-D semantic segmentation. The depth feature is firstly decomposed into a shape-component and a base-component, next two learnable weights are introduced to cooperate with them independently, and finally a [convolution](https://paperswithcode.com/method/convolution) is applied on the re-weighted combination of these two components.
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
https://paperswithcode.com/paper/shapeconv-shape-aware-convolutional-layer-for
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation