Abstract: In the field of deep point cloud understanding, KP-Conv is a unique architecture that uses kernel points to locate convolutional weights in space, instead of relying on Multi-Layer ...
Abstract: Recent medical image segmentation methods extract the characteristics of anatomical structures only from the spatial domain, ignoring the distinctive patterns present in the spectral ...