3 papers
cs.CV2026
Learning Hierarchical Orthogonal Prototypes for Generalized Few-Shot 3D Point Cloud Segmentation
Yifei Zhao, Fanyu Zhao, Zhongyuan Zhang +3
Generalized few-shot 3D point cloud segmentation aims to adapt to novel classes from only a few annotations while maintaining strong performance on base classes, but this remains c…
cs.CV2026
Uncertainty-aware Prototype Learning with Variational Inference for Few-shot Point Cloud Segmentation
Yifei Zhao, Fanyu Zhao, Yinsheng Li
Few-shot 3D semantic segmentation aims to generate accurate semantic masks for query point clouds with only a few annotated support examples. Existing prototype-based methods typic…
eess.IV2025
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
Cheng Wang, Siqi Chen, Donghua Mi +3
Recent advances in medical imaging have established deep learning-based segmentation as the predominant approach, though it typically requires large amounts of manually annotated d…