WE2.R2: Weak Supervision For Segmentation
Wed, 10 Jul, 11:40 - 13:20
Location: Mitropoulos
Session Type: Oral
Session Co-Chairs: Devis Tuia, EPFL and Shutao Li, Hunan University
Track: Data Analysis
Wed, 10 Jul, 11:40 - 11:54

WE2.R2.1: Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
Nikolaos Dionelis, European Space Agency (ESA), Italy; Francesco Pro, Luca Maiano, Irene Amerini, Sapienza University of Rome, Italy; Bertrand Le Saux, European Space Agency (ESA), Italy
Wed, 10 Jul, 11:54 - 12:08

WE2.R2.2: KNOWLEDGE DISTILLATION FOR ROAD DETECTION BASED ON CROSS-MODEL SEMI-SUPERVISED LEARNING
Wanli Ma, Oktay Karakus, Paul L. Rosin, Cardiff University, United Kingdom
Wed, 10 Jul, 12:08 - 12:22

WE2.R2.3: RADARGRAMS AS SEQUENCES: A METHOD FOR THE SEMANTIC SEGMENTATION OF RADAR SOUNDER DATA
Jordy Dal Corso, Lorenzo Bruzzone, Università di Trento, Italy
Wed, 10 Jul, 12:22 - 12:36

WE2.R2.4: DISENTANGLING SEMI-SUPERVISED SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES
Wei Huang, Yilei Shi, Zhitong Xiong, Xiaoxiang Zhu, Technical University of Munich, Germany
Wed, 10 Jul, 12:36 - 12:50

WE2.R2.5: SPARSE POINT ANNOTATIONS AND ITERATIVE ACTIVE LEARNING FOR VEHICLE DETECTION
Osmar Luiz Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Albuquerque, Daniel Silva, University of Brasília, Brazil
Wed, 10 Jul, 12:50 - 13:04

WE2.R2.6: ALLEVIATING SEMANTIC UNCERTAINTY IN CAMS FOR WEAKLY-SUPERVISED LAND-COVER CLASSIFICATION
Qiyuan Ma, Linxi Huan, Mingyue Dong, Xianwei Zheng, Wuhan University, China; Linwei Yue, China University of Geosciences, China
Wed, 10 Jul, 13:04 - 13:18

WE2.R2.7: REGION-AWARE CONTRASTIVE LEARNING FOR SEMI-SUPERVISED SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES
Yuan Luo, Bin Sun, Shutao Li, Hunan University, China