计算可视媒体（英文）2025，Vol.11Issue(3)：465-481,17.DOI:10.26599/CVM.2025.9450437
Swin3D++:Effective multi-source pretraining for 3D indoor scene understanding
Swin3D++:Effective multi-source pretraining for 3D indoor scene understanding
Yu-Qi Yang 1Yu-Xiao Guo 2Yang Liu2
作者信息
- 1. Institute for Advanced Study,Tsinghua University,Beijing 100084,China
- 2. Microsoft Research Asia,Beijing 100080,China
- 折叠
摘要
关键词
3D scenes/indoor/pretraining/multi-source data/data augmentationKey words
3D scenes/indoor/pretraining/multi-source data/data augmentation引用本文复制引用
Yu-Qi Yang,Yu-Xiao Guo,Yang Liu..Swin3D++:Effective multi-source pretraining for 3D indoor scene understanding[J].计算可视媒体（英文）,2025,11(3):465-481,17.
