MO3.M3.2
LEARNING FROM NOISY PSEUDO-LABELS FOR ALL-WEATHER LAND COVER MAPPING
Wang Liu, Zhiyu Wang, Xin Guo, Puhong Duan, Xudong Kang, Shutao Li, Hunan Univercity, China
Session:
MO3.M3: IEEE GRSS Data Fusion Contest Oral
Track:
Community-Contributed Sessions
Location:
Mezzanine: Room M3
Presentation Time:
Monday, 4 August, 13:15 - 13:30
Session Co-Chairs:
Claudio Persello, University of Twente and Ujjwal Verma, Manipal Institute of Technology
Session MO3.M3
MO3.M3.1: Presentation of the Data Fusion Contest 2025
Claudio Persello, University of Twente, Netherlands
MO3.M3.2: LEARNING FROM NOISY PSEUDO-LABELS FOR ALL-WEATHER LAND COVER MAPPING
Wang Liu, Zhiyu Wang, Xin Guo, Puhong Duan, Xudong Kang, Shutao Li, Hunan Univercity, China
MO3.M3.3: Robust All-Weather Land Cover Mapping via InternImage and Cross-Modal Pseudo Supervision
Jiarui Hu, Zhe Wang, Yuxuan Guo, Wuhan University, China
MO3.M3.4: Building-Guided Pseudo-Label Learning for Cross-Modal Building Damage Mapping
Jiepan Li, He Huang, Yu Sheng, Yujun Guo, Wei He, Wuhan University, China
MO3.M3.5: BUILDING DAMAGE MAPPING THROUGH HETEROGENEOUS FEATURE CONSISTENCY AND KNOWLEDGE INTEGRATION
Xiangqiang Zeng, Ying Qu, Beijing Normal University, China
Resources