generalized-few-shot-point-cloud-segmentation

Segment novel 3D point cloud classes with few support samples by combining dense but noisy pseudo-labels from 3D vision-language models with precise sparse few-shot annotations. GFS-VL adapts to new classes while retaining base class performance, using prototype-guided filtering and adaptive infilling strategies ideal for applications with limited labeled t…

Independent GitHub snapshot · Automated classification · Original documentation governs