TU4.R1: Semi and Self-segmentations for Object Detection and Identification
Tue, 18 Jul, 15:45 - 17:00 Pacific Time (UTC -7)
Location: Room 1
Session Type: Oral
Session Chair: Minh-Tan Pham, Institut de recherche en informatique et systèmes aléatoires (IRISA), Université Bretagne Sud
Track: Data Analysis
Tue, 18 Jul, 15:45 - 15:57 Pacific Time (UTC -7)

TU4.R1.1: WEAKLY SUPERVISED MARINE ANIMAL DETECTION FROM REMOTE SENSING IMAGES USING VECTOR-QUANTIZED VARIATIONAL AUTOENCODER
Minh-Tan Pham, Sébastien Lefèvre, Institut de recherche en informatique et systèmes aléatoires (IRISA), Université Bretagne Sud, France; Hugo Gangloff, Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), AgroParisTech, France
Tue, 18 Jul, 15:57 - 16:09 Pacific Time (UTC -7)

TU4.R1.2: FULLY AUTOMATIC GENERATION OF TRAINING DATA FOR BUILDING DETECTION AND CLASSIFICATION FROM REMOTE SENSING IMAGERY
Yixuan Wang, Marco Körner, Technical University of Munich, Germany; Hai Huang, Coleen Cabalo, Helmut Mayer, Universität der Bundeswehr München, Germany
Tue, 18 Jul, 16:09 - 16:21 Pacific Time (UTC -7)

TU4.R1.3: ADVANCING MASKED IMAGE MODELING BASED SELF-SUPERVISED PRETRAINING FOR REMOTE SENSING OBJECT DETECTION
Tong Zhang, Yin Zhuang, Guanqun Wang, Yuqing Liu, He Chen, Liang Chen, Beijing Institute of Technology, China
Tue, 18 Jul, 16:21 - 16:33 Pacific Time (UTC -7)

TU4.R1.4: Semi-Supervised Object Detection in Remote Sensing Images Based on Active Learning
Yuhao Wang, Haopeng Zhang, Beihang University, China; Lifan Yao, Xinye Zhang, Jiayun Song, Qingdao Research Institute of Beihang University, China; Gang Meng, Beijing Institute of Remote Sensing Information, China
Tue, 18 Jul, 16:33 - 16:45 Pacific Time (UTC -7)

TU4.R1.5: WEAKLY SUPERVISED SEMANTIC SEGMENTATION FOR HAZY REMOTE SENSING IMAGES BASED ON SALIENCY-AWARE ALIGNMENT STRATEGY
Junda Xu, Ting Hao, Libao Zhang, Beijing Normal University, China
Tue, 18 Jul, 16:45 - 17:00 Pacific Time (UTC -7)

TU4.R1.D: Discussion