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
Session:
TU4.R1: Semi and Self-segmentations for Object Detection and Identification Oral
Track:
Data Analysis
Location:
Room B
Presentation Time:
Tue, 18 Jul, 16:09 - 16:21 Pacific Time (UTC -8)
Session Chair:
Minh-Tan Pham, Institut de recherche en informatique et systèmes aléatoires (IRISA), Université Bretagne Sud
Session Manager:
John Kunkee
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Session TU4.R1
TU4.R1.1: WEAKLY SUPERVISED MARINE ANIMAL DETECTION FROM REMOTE SENSING IMAGES USING VECTOR-QUANTIZED VARIATIONAL AUTOENCODER
Minh-Tan Pham, 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; Sébastien Lefèvre, Institut de recherche en informatique et systèmes aléatoires (IRISA), Université Bretagne Sud, France
TU4.R1.2: FULLY AUTOMATIC GENERATION OF TRAINING DATA FOR BUILDING DETECTION AND CLASSIFICATION FROM REMOTE SENSING IMAGERY
Yixuan Wang, Technical University of Munich, Germany; Hai Huang, Coleen Cabalo, Universität der Bundeswehr München, Germany; Marco Körner, Technical University of Munich, Germany; Helmut Mayer, Universität der Bundeswehr München, Germany
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
TU4.R1.4: Semi-Supervised Object Detection in Remote Sensing Images Based on Active Learning
Yuhao Wang, Beihang University, China; Lifan Yao, Qingdao Research Institute of Beihang University, China; Gang Meng, Beijing Institute of Remote Sensing Information, China; Xinye Zhang, Jiayun Song, Qingdao Research Institute of Beihang University, China; Haopeng Zhang, Beihang University, China
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
Resources
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