AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss
We introduce AdaCoSeg, a deep neural network architecture for adaptive co-segmentation of a set of 3D shapes represented as point clouds. Differently from the familiar single-instance segmentation problem, co-segmentation is intrinsically contextual: how a shape is segmented can vary depending on the set it is in. Hence, our network features …