WE2.R9: Deep Learning for Change Detection
Oral
Wed, 12 Aug, 11:00 - 12:15
Location: TBD
Session Type: Oral
Track: Theory and Techniques
Click the to view the manuscript on IEEE Xplore Open Preview
Wed, 12 Aug, 11:00 - 11:15

WE2.R9.1: COUNTERFACTUAL-GUIDED CONTRASTIVE LEARNING FOR ROBUST CHANGE DETECTION

Ouga Ishibashi, Keijiro Ozaki, Jin Nakazawa, Keio University, Japan
Wed, 12 Aug, 11:15 - 11:30

WE2.R9.2: SEMANTIC PRIOR-GUIDED WEAKLY SUPERVISED BUILDING CHANGE DETECTION WITH FOUNDATION MODELS

Wenqi Zhou, Jia Liu, Wenhua Zhang, Fang Liu, Jingxiang Yang, Liang Xiao, Nanjing University of Science and Technology, China
Wed, 12 Aug, 11:30 - 11:45

WE2.R9.3: LDGUID: A FRAMEWORK FOR ROBUST CHANGE DETECTION VIA LATENT DIFFERENCE GUIDANCE

Jiaxuan Zhao, Ali Bereyhi, University of Toronto, Canada
Wed, 12 Aug, 11:45 - 12:00

WE2.R9.4: REMOTEVAR: AUTOREGRESSIVE VISUAL MODELING FOR REMOTE SENSING CHANGE DETECTION

Yilmaz Korkmaz, Vishal M. Patel, Johns Hopkins University, United States
Wed, 12 Aug, 12:00 - 12:15

WE2.R9.5: PMI-NET: PROGRESSIVE MODAL INTERACTION NETWORK FOR REMOTE SENSING IMAGE CHANGE CAPTIONING

Zhongqian Jin, Xi'an Research Institute of Navigation Technology, China; Xuze Dong, Yingping Han, Lirong Han, Kaiqi Xu, Shuang Wang, Xidian University, China