WE2.R13.3
SEMI-SUPERVISED REMOTE SENSING SEGMENTATION VIA FOUNDATION MODEL DISTILLATION AND CONSISTENCY LEARNING
Pu Xiao, China University of Geosciences, China; Xiaoyan Lu, The Hong Kong Polytechnic University, China; Yao Sun, German Aerospace Center, Germany; Yuting Dong, Ji Zhao, China University of Geosciences, China; Yanfei Zhong, Wuhan University, China
Session:
WE2.R13: Image Segmentation Methods Oral
Track:
Theory and Techniques
Location:
TBD
Presentation Time:
Wed, 12 Aug, 11:30 - 11:45
Presentation
Discussion
Resources
No resources available.
Session WE2.R13
WE2.R13.1: A LARGE-SCALE DATASET FOR MULTI-CLASS GEOSPATIAL OBJECT VECTORIZATION
Xiaofei He, Ruishen Wang, Yujun Liu, Shenzhen University, China
WE2.R13.2: HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation
Md Aminur Hossain, Space Applications Centre, India; Ayush V. Patel, Pandit Deendayal Energy University, India; Biplab Banerjee, Indian Institute of Technology Bombay, India
WE2.R13.3: SEMI-SUPERVISED REMOTE SENSING SEGMENTATION VIA FOUNDATION MODEL DISTILLATION AND CONSISTENCY LEARNING
Pu Xiao, China University of Geosciences, China; Xiaoyan Lu, The Hong Kong Polytechnic University, China; Yao Sun, German Aerospace Center, Germany; Yuting Dong, Ji Zhao, China University of Geosciences, China; Yanfei Zhong, Wuhan University, China
WE2.R13.4: Revisiting Consistency Regularization for Semi-supervised Change Detection
Wele Gedara Chaminda Bandara, Vishal M. Patel, Johns Hopkins University, United States
Contacts