IVMSP-L14.2
LANGUAGE-DRIVEN OPEN-VOCABULARY 3D SEMANTIC SEGMENTATION WITH KNOWLEDGE DISTILLATION
Yuting Wu, Xian-feng Han, Guoqiang Xiao, SouthWest University, China
Session:
IVMSP-L14: Segmentation Lecture
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Room 101
Presentation Time:
Fri, 19 Apr, 13:30 - 13:50 (UTC +9)
Session Chair:
André Kaup, Universität Erlangen-Nürnberg
Session IVMSP-L14
IVMSP-L14.1: OPNet: Deep Occlusion Perception Network with Boundary Awareness for Amodal Instance Segmentation
Shihui Zhang, Ziteng Xue, Yuhong Jiang, Houlin Wang, Yanshan University, China
IVMSP-L14.2: LANGUAGE-DRIVEN OPEN-VOCABULARY 3D SEMANTIC SEGMENTATION WITH KNOWLEDGE DISTILLATION
Yuting Wu, Xian-feng Han, Guoqiang Xiao, SouthWest University, China
IVMSP-L14.3: 3D POINT CLOUD SEMANTIC SEGMENTATION BASED ON DIFFUSION MODEL
Chang Liu, Aimin Jiang, Yibin Tang, Hohai University, China; Yanping Zhu, Qi Chen, Changzhou University, China
IVMSP-L14.4: DiffusionInst: Diffusion Model for Instance Segmentation
Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Ant Group, China
IVMSP-L14.5: Locality-Enhanced Transformer for Semantic Segmentation of High-Resolution Remote Sensing Images
Xin Li, Feng Xu, Hohai University, China; Runliang Xia, Ministry of Water Resources, China; Nan Xu, Fan Liu, Chi Yuan, Qian Huang, Xin Lyu, Hohai University, China
IVMSP-L14.6: RD-NeRF: Neural Robust Distilled Feature Fields for Sparse-view Scene Segmentation
Yongjia Ma, Bin Dou, Tianyu Zhang, Zejian Yuan, Xi'an Jiaotong University, China
Contacts