AIFormer: Adaptive Interaction Transformer for 3D Point Cloud Understanding

• Published in: Remote sensing (Basel, Switzerland) Vol. 16; no. 21; p. 4103
• Main Authors: Chu, Xutao, Zhao, Shengjie, Dai, Hongwei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2024
• Subjects: 3D point cloud; 3D point cloud analysis; Ablation; Communication; Computational linguistics; Deep learning; Design; Electric transformers; Feature extraction; feature fusion; Language processing; Modules; Natural language interfaces; semantic segmentation; Semantics; Three dimensional models

Recently, significant advancements have been made in 3D point cloud analysis by leveraging transformer architecture in 3D space. However, it remains challenging to effectively implement local and global learning within irregular and sparse structures of 3D point clouds. This paper presents the Adapt...