WE2.R13.3
SEMI-SUPERVISED REMOTE SENSING SEGMENTATION VIA FOUNDATION MODEL DISTILLATION AND CONSISTENCY LEARNING
Pu Xiao, China University of Geosciences; Xiaoyan Lu, The Hong Kong Polytechnic University; Yao Sun, German Aerospace Center; Yuting Dong, Ji Zhao, China University of Geosciences; Yanfei Zhong, Wuhan University
Session:
WE2.R13: Image Segmentation Methods Oral
Track:
Theory and Techniques
Location:
Georgetown West
Presentation Time:
Wednesday, 12 August, 11:30 - 11:45
Session Chair:
Vishal M. Patel, Johns Hopkins University
Presentation
Discussion
Resources
No resources available.
Session WE2.R13
WE2.R13.1: A LARGE-SCALE DATASET FOR MULTI-CLASS GEOSPATIAL OBJECT VECTORIZATION
Xiaofei He, Ruisheng Wang, Yujun Liu, Tiezhu Shi, Shenzhen University; Yuzhou Zhang, Popsmart Technology(Zhejiang) Co., Ltd; Tsz Nam Chan, Yibin Tian, Shenzhen University
WE2.R13.2: HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation
Md Aminur Hossain, Ayush V. Patel, Space Applications Centre; Ikshwaku Vanani, New-Brunswick Honors College, Rutgers University; Biplab Banerjee, Indian Institute of Technology Bombay
WE2.R13.3: SEMI-SUPERVISED REMOTE SENSING SEGMENTATION VIA FOUNDATION MODEL DISTILLATION AND CONSISTENCY LEARNING
Pu Xiao, China University of Geosciences; Xiaoyan Lu, The Hong Kong Polytechnic University; Yao Sun, German Aerospace Center; Yuting Dong, Ji Zhao, China University of Geosciences; Yanfei Zhong, Wuhan University
WE2.R13.4: Revisiting Consistency Regularization for Semi-supervised Change Detection
Wele Gedara Chaminda Bandara, Vishal M. Patel, Johns Hopkins University
Resources
No resources available.