WE1.R14.2

END-TO-END ROAD GRAPH EXTRACTION BASED ON GRAPH NEURAL NETWORK

Chengkai Yang, The University of Tokyo, Japan; Ion-George Todoran, Christian Saravia, Woven by Toyota, Inc., Japan
Session:
WE1.R14: Advanced Machine Learning Techniques for Remote Sensing Oral
Track:
AI and Big Data
Location:
Room E
Presentation Time:
Wed, 19 Jul, 08:42 - 08:54 Pacific Time (UTC -8)
Session Co-Chairs:
Gencer Sumbul, Technische Universität Berlin and Saurabh Prasad, University of Houston
Session Manager:
Shengjie Liu
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Session WE1.R14
WE1.R14.1: ADVERSARIAL DISCRIMINATIVE KNOWLEDGE TRANSFER WITH A MULTI-CLASS DISCRIMINATOR FOR ROBUST GEOAI
Anan Yaghmour, Saurabh Prasad, University of Houston, United States; Melba Crawford, Purdue University, United States
WE1.R14.2: END-TO-END ROAD GRAPH EXTRACTION BASED ON GRAPH NEURAL NETWORK
Chengkai Yang, The University of Tokyo, Japan; Ion-George Todoran, Christian Saravia, Woven by Toyota, Inc., Japan
WE1.R14.3: TRANSFORMER-BASED MULTI-MODAL LEARNING FOR MULTI-LABEL REMOTE SENSING IMAGE CLASSIFICATION
David Sebastian Hoffmann, Kai Norman Clasen, Begüm Demir, Technische Universität Berlin, Germany
WE1.R14.4: A TEXTURE AND SALIENCY ENHANCED IMAGE LEARNING METHOD FOR CROSS-MODAL REMOTE SENSING IMAGE-TEXT RETRIEVAL
Rui Yang, Xidian University, China; Di Zhang, Industrial and Commercial Bank of China, China; Yanhe Guo, Shuang Wang, xidian university, China
WE1.R14.5: VECTORIZING PLANAR ROOF STRUCTURE FROM VERY HIGH RESOLUTION REMOTE SENSING IMAGES USING TRANSFORMERS
Wufan Zhao, KU Leuven, Belgium; Claudio Persello, University of Twente, Netherlands; Xianwei Lv, Wuhan University, China; Alfred Stein, University of Twente, Netherlands; Maarten Vergauwen, KU Leuven, Belgium
Resources
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