Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...

Abstract: Fast and accurate ground segmentation is an essential task for various applications, such as point cloud clustering, 3-D object segmentation, and simultaneous localization and mapping (SLAM) ...