TH1.R1.1: A LIGHTWEIGHT PATCH-LEVEL CHANGE DETECTION NETWORK VIA EXPLORING THE POTENTIAL OF PRUNING AND MULTI-SCALE POOLING
Lihui Xue, Xueqian Wang, Zhihao Wang, Linping Zhang, Gang Li, Tsinghua University, China
TH1.R1.2: CHANGE DETECTION IN DUAL-TEMPORAL REMOTE SENSING DATA BASED ON A LIGHTWEIGHT SIAMESE NETWORK WITH EFFECTIVE PREPROCESSING
Yankun Huang, Harbin Institute of Technology, China; Maosheng Wei, Baoyu Ge, Harbin Space Star Data System Techology Co., Ltd, China; Yun Zhang, Zhenyuan Ji, Harbin Institute of Technology, China
TH1.R1.3: MULTI-TASK CHANGE DETECTION NETWORK FOR REMOTE SENSING IMAGES BASED ON FEATURE SYMMETRY ENHANCED FUSION
Mingheng Zhang, Lei He, Chengdu University of Information Technology, China; Yuxia Li, Zhonggui Tong, Jinglin Zhang, University of Electronic Science and Technology of China, China
TH1.R1.4: PIXEL-LEVEL CHANGE DETECTION PSEUDO-LABEL LEARNING FOR REMOTE SENSING CHANGE CAPTIONING
Chenyang Liu, Keyan Chen, Zipeng Qi, Zili Liu, Haotian Zhang, Zhengxia Zou, Zhenwei Shi, Beihang University, China
TH1.R1.5: SemiJointNet: A Semi-Supervised Building Change Detection Method Based On Joint Learning
Hao Chen, Chengzhe Sun, Jun Li, Chun Du, National University of Defense Technology, China
TH1.R1.6: TIME-GUIDED NETWORK FOR REMOTE SENSING CHANGE DETECTION
Tingrui Zhang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Xidian University, China; Fang Liu, Nanjing University of Science and Technology, China; Cheng Zhu, Licheng Jiao, Xidian University, China
TH1.R1.7: CHANGEBIND: A HYBRID CHANGE ENCODER FOR REMOTE SENSING CHANGE DETECTION
Mubashir Noman, MBZUAI, United Arab Emirates; Mustansar Fiaz, IBM Research, United Arab Emirates; Hisham Cholakkal, MBZUAI, United Arab Emirates
