Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification

arXiv:2404.00857v1 Announce Type: new
Abstract: Point cloud classification refers to the process of assigning semantic labels or categories to individual points within a point cloud data structure. Recent works have explored the extension of pre-trained CLIP to 3D recognition. In this direction, CLIP-based point cloud models like PointCLIP, CLIP2Point have become state-of-the-art methods in the few-shot setup. Although these methods show promising performance for some classes like airplanes, desks, guitars, etc, the performance for some classes like the cup, flower …

abstract arxiv classification clip cloud cloud data cs.cv data dynamic extension labels meta process recognition sampling semantic type