Prototype Adaption and Projection for Few- and Zero-Shot 3D Point Cloud Semantic Segmentation
Prototype Adaption and Projection for Few- and Zero-Shot 3D Point Cloud Semantic Segmentation
In this work, we address the challenging task of few-shot and zero-shot 3D point cloud semantic segmentation. The success of few-shot semantic segmentation in 2D computer vision is mainly driven by the pre-training on large-scale datasets like imagenet. The feature extractor pre-trained on large-scale 2D datasets greatly helps the 2D …