FR4.R1.1

Leveraging Physics-Guided Features for Domain Adaptation in SAR Target Classification

Tsenjung Tai, Masato Toda, Kenta Senzaki, Eiji Kaneko, NEC Corporation, Japan
Session:
FR4.R1: Transfer Learning and Domain Adaptation Oral
Track:
Data Analysis
Location:
Room B
Presentation Time:
Fri, 21 Jul, 15:45 - 15:57 Pacific Time (UTC -8)
Session Co-Chairs:
Jocelyn Chanussot, Université Grenoble Alpes and Tsenjung Tai, NEC Corporation and Shailesh Deshpande, Tata Research Development and Design Centre, Tata Consultancy Services Ltd.
Session Manager:
Al Adil Al Hinai
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Session FR4.R1
FR4.R1.1: Leveraging Physics-Guided Features for Domain Adaptation in SAR Target Classification
Tsenjung Tai, Masato Toda, Kenta Senzaki, Eiji Kaneko, NEC Corporation, Japan
FR4.R1.2: TRANSFER LEARNING FOR CLOUD IMAGE CLASSIFICATION
Mayank Jain, ADAPT SFI Research Centre, University College Dublin, Ireland, Ireland; Navya Jain, University of Delhi, India, India; Yee Hui Lee, Nanyang Technological University Singapore, Singapore; Stefan Winkler, National University of Singapore, Singapore; Soumyabrata Dev, ADAPT SFI Research Centre, University College Dublin, Ireland, Ireland
FR4.R1.3: SEMI-SUPERVISED LEARNING BY DOMAIN ADAPTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Shailesh Deshpande, Chaman Banolia, Tata Research Development and Design Centre, Tata Consultancy Services Ltd., India; Balamuralidhar P., Tata Consultancy Services Ltd., India
FR4.R1.4: WHY DID YOU GO THERE? SEMANTIC KNOWLEDGE EXTRACTION FROM TRAJECTORY TRACES
Shreya Ghosh, The Pennsylvania State University, USA, United States; Soumya Ghosh, Indian Institute of Technology Kharagpur, India, India
FR4.R1.5: Cross-scene classification with noisy samples
Sihan Zhu, Chen Wu, Bo Du, Liangpei Zhang, Wuhan University, China
Resources
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