ESP-Zero: Unsupervised enhancement of zero-shot classification for Extremely Sparse Point cloud

arXiv:2404.19639v1 Announce Type: new
Abstract: In recent years, zero-shot learning has attracted the focus of many researchers, due to its flexibility and generality. Many approaches have been proposed to achieve the zero-shot classification of the point clouds for 3D object understanding, following the schema of CLIP. However, in the real world, the point clouds could be extremely sparse, dramatically limiting the effectiveness of the 3D point cloud encoders, and resulting in the misalignment of point cloud features and text embeddings. …

3d object abstract arxiv classification clip cloud cs.cv esp flexibility focus however object researchers schema type understanding unsupervised zero-shot