WE2.P6: Deep Learning for Change Detection
Wednesday, 6 August, 10:30 - 11:45
Location: Room P6
Session Type: Oral
Track: Data Analysis
Wed, 6 Aug, 10:30 - 10:45

WE2.P6.1: CUTMIX-CD: ADVANCING SEMI-SUPERVISED CHANGE DETECTION VIA MIXED SAMPLE CONSISTENCY
Qidi Shu, Xiaolin Zhu, Luoma Wan, Shuheng Zhao, Denghong Liu, Longkang Peng, Xiaobei Chen, The Hong Kong Polytechnic University, China
Wed, 6 Aug, 10:45 - 11:00

WE2.P6.2: HYRET-CHANGE: A HYBRID RETENTIVE NETWORK FOR REMOTE SENSING CHANGE DETECTION
Mustansar Fiaz, IBM Research, United Arab Emirates; Mubashir Noman, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates; Hiyam Debary, IBM Research, United Arab Emirates; Kamran Ali, FAST National University, Pakistan; Hisham Cholakkal, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates
Wed, 6 Aug, 11:00 - 11:15

WE2.P6.3: CONTRASTIVE DYNAMIC PROTOTYPE-AWARE NETWORK FOR CROSS-DOMAIN HYPERSPECTRAL IMAGE CHANGE DETECTION
Wenhui Hou, Jiangtao Peng, Hubei University, China; Bing Yang, China Jiliang University, China; Weiwei Sun, Ningbo University, China
Wed, 6 Aug, 11:15 - 11:30

WE2.P6.4: GENERATIVE VIRTUAL EXEMPLAR LEARNING FOR LABEL-EFFICIENT SATELLITE IMAGE CHANGE DETECTION
Hichem Sahbi, CNRS Sorbonne University, France
Wed, 6 Aug, 11:30 - 11:45

WE2.P6.5: CLIP-Based Content-Aware Change Detection for Bi-Temporal Remote Sensing Imagery
Jintao Chen, Fudan University, China; Bo Peng, Shanghai Ocean University, China; Nianzheng Yuan, Mingmin Chi, Dejing Dou, Fudan University, China; Sicong Liu, Tongji University, China; Jón Atli Benediktsson, University of Iceland, Iceland