TU3.R10.2
SAR-URBAN: GEOMETRY-CONDITIONED REPRESENTATION LEARNING FOR URBAN SEGMENTATION IN SAR
Tsenjung Tai, Masato Toda, Nagma Khan, Kenta Senzaki, NEC Corporation, Japan
Session:
TU3.R10: Geospatial Reasoning, Graph, and PDE Foundation Models: Advances in Semantic, Topological, and Spatiotemporal Learning Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Tue, 11 Aug, 14:00 - 14:15
Session Co-Chairs:
Ushasi Chaudhuri, TCS Research and Manikandan Padmanaban,
Presentation
Discussion
Resources
No resources available.
Session TU3.R10
TU3.R10.1: Dynamic Graph Learning with Multi-Scale Aggregation: A Residual Attention GCN for SAR Segmentation
Hang Yu, jiaye liang, Xidian University, China; Lei Wang, Hainan Aerospace Information Research Institute, China
TU3.R10.2: SAR-URBAN: GEOMETRY-CONDITIONED REPRESENTATION LEARNING FOR URBAN SEGMENTATION IN SAR
Tsenjung Tai, Masato Toda, Nagma Khan, Kenta Senzaki, NEC Corporation, Japan
Contacts