WE4.R2.1: TOWARDS ROBUST SEMANTIC SEGMENTATION FOR REMOTE SENSING IMAGES UNDER ADVERSARIAL NOISE CONDITION
Ying Chen, China Telecom Research Institute, China; Yuechi Yang, Wuhan University, China; Li Fang, Tao Han, China Telecom Research Institute, China; Shuai Ye, Xiaoliang Meng, Wuhan University, China
WE4.R2.2: SELF-TRAINING AND CURRICULUM LEARNING GUIDED DYNAMIC REFINED NETWORK FOR REMOTE SENSING CLASS-INCREMENTAL SEMANTIC SEGMENTATION
Hongbo Zhao, Ruimin Ren, Shuchang Lyu, Binghao Liu, Chunlei Wang, Meng Li, Beihang University, China; Guangliang Cheng, University of Liverpool, China; Qi Zhao, Beihang University, China
WE4.R2.3: CONDA: CONTINUAL ADAPTATION IN REMOTE SENSING VIA VISUAL STYLE PLAYBACK
Shi Liang, Xidian University, Shaanxi, China; PIESAT Information Technology Co., Ltd., Beijing 100195, China, China; Ketao Zhong, Dong Zhao, Hu Yang, Shuang Wang, Yanhe Guo, Xidian University, Shaanxi, China, China
WE4.R2.5: GRAIN PROTEIN CONTENT IN COMMERCIAL WHEAT ESTIMATED VIA TIMESERIES PLANT TRAITS RETRIEVED FROM SENTINEL-2 IMAGES BY RADIATIVE TRANSFER MODEL INVERSION
Andrew Longmire, Tomas Poblete, Alberto Hornero, Deli Chen, Pablo Zarco-Tejada, University of Melbourne, Australia
WE4.R2.6: LEARN FROM SEGMENT ANYTHING MODEL: LOCAL REGION HOMOGENIZING FOR CROSS-DOMAIN REMOTE SENSING IMAGE SEGMENTATION
Wang Liu, Puhong Duan, Zhuojun Xie, Xudong Kang, Shutao Li, Hunan Univercity, China
WE4.R2.7: A PARAMETER-EFFICIENT DIFFERENTIABLE ACTIVE CONTOUR NETWORK FOR PRECISELY BUILDING INSTANCE SEGMENTATION
Zicong Zhu, Bin Dong, Qianqian Bu, Jingen Ni, Soochow University, China
