Towards Modality-agnostic Label-efficient Segmentation with
Entropy-Regularized Distribution Alignment
Towards Modality-agnostic Label-efficient Segmentation with
Entropy-Regularized Distribution Alignment
Label-efficient segmentation aims to perform effective segmentation on input data using only sparse and limited ground-truth labels for training. This topic is widely studied in 3D point cloud segmentation due to the difficulty of annotating point clouds densely, while it is also essential for cost-effective segmentation on 2D images. Until …