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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU3.O-8.2

LEARNING VIA WATCHING: A WEAKLY SUPERVISED MOVING OBJECT DETECTOR FOR SATELLITE VIDEOS

Junpeng Zhang, University of New South Wales Canberra, Australia; Jue Zhang, University of New South Wales, Australia; Xiuping Jia, University of New South Wales Canberra, Australia
Session:
Optical II - Vehicle/Aircraft Detection
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 12:40-12:55 (UTC)
Tue, 13 Jul, 14:40-14:55 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 20:40-20:55 China Standard Time (UTC +8)
Tue, 13 Jul, 08:40-08:55 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Xiuping Jia, The School of Engineering and Information Technology and Zeyad Awwad, Massachusetts Institute of Technology
Session Manager:
Anna Mateo-Sanchis
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Session TU3.O-8
TU3.O-8.1: VEHICLE DETECTION USING DEEP LEARNING WITH DEFORMABLE CONVOLUTION
Yuanhang Wang, Shujia Ye, Yang Bai, Guoming Gao, Yanfeng Gu, Harbin Institute of Technology, China
TU3.O-8.2: LEARNING VIA WATCHING: A WEAKLY SUPERVISED MOVING OBJECT DETECTOR FOR SATELLITE VIDEOS
Junpeng Zhang, University of New South Wales Canberra, Australia; Jue Zhang, University of New South Wales, Australia; Xiuping Jia, University of New South Wales Canberra, Australia
TU3.O-8.3: SELF-SUPERVISED DEEP LEARNING FOR VEHICLE DETECTION IN HIGH-RESOLUTION SATELLITE IMAGERY
Zeyad Awwad, Massachusetts Institute of Technology, United States; Faisal Alnasser, Tariq Alshahrani, King Abdulaziz City for Science and Technology, Saudi Arabia; Matthew Moraguez, Massachusetts Institute of Technology, United States; Ahmad Alabdulkareem, King Abdulaziz City for Science and Technology, Saudi Arabia; Olivier de Weck, Massachusetts Institute of Technology, United States
TU3.O-8.4: ADAPTING VEHICLE DETECTOR TO TARGET DOMAIN BY ADVERSARIAL PREDICTION ALIGNMENT
Yohei Koga, Independent researcher, Japan; Hiroyuki Miyazaki, Ryosuke Shibasaki, University of Tokyo, Japan
TU3.O-8.5: INVERSE DOMAIN ADAPTATION FOR REMOTE SENSING IMAGES USING WASSERSTEIN DISTANCE
Ziyao Li, Wuhan University, China; Rui Wang, Man-On Pun, Chinese University of Hong Kong, China; Zhiguo Wang, Sichuan University, China; Huiliang Yu, Shanghai CAS-NOVA Satellite Technology Company Limited, China
TU3.O-8.6: MULTI-VIEW ATTENTION NETWORK FOR REMOTE SENSING IMAGE CAPTIONING
Yun Meng, Yu Gu, Xiutiao Ye, Jingxian Tian, Shuang Wang, Xidian University, China; He Zhang, Northwest University, China; Biao Hou, Licheng Jiao, Xidian University, China

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