Computational Visual Media2025，Vol.11Issue(1)：P.83-101,19.DOI:10.26599/CVM.2025.9450383
Swin3D: A pretrained transformer backbone for 3D indoor scene understanding
Yu-Qi Yang 1Yu-Xiao Guo 2Jian-Yu Xiong 3Yang Liu 2Hao Pan 2Peng-Shuai Wang 4Xin Tong 2Baining Guo2
作者信息
- 1. Institute for Advanced Study,Tsinghua University,Beijing 100084,China
- 2. Internet Graphics Group,Microsoft Research Asia,Beijing 100080,China
- 3. Tsinghua Shenzhen International Graduate School,Tsinghua University,Shenzhen 518055,China
- 4. Wangxuan Institute of Computer Technology,Peking University,Beijing 100080,China
- 折叠
摘要
关键词
3D pretraining/ponitcloud analysis/trans-former backbone/Swin Transformer/3D semantic segmentation/3D object detection分类
信息技术与安全科学引用本文复制引用
Yu-Qi Yang,Yu-Xiao Guo,Jian-Yu Xiong,Yang Liu,Hao Pan,Peng-Shuai Wang,Xin Tong,Baining Guo..Swin3D: A pretrained transformer backbone for 3D indoor scene understanding[J].Computational Visual Media,2025,11(1):P.83-101,19.
