FR1.R10: Label-efficient Learning for Earth Observation
Fri, 21 Jul, 08:30 - 09:45 Pacific Time (UTC -7)
Location: Room 101
Session Type: Oral
Session Co-Chairs: Ronny Hänsch, German Aerospace Center and Begüm Demir, Technische Universität Berlin
Session Manager: Rahisha Thottolil
Track: AI and Big Data
Fri, 21 Jul, 08:30 - 08:42 Pacific Time (UTC -7)

FR1.R10.1: AUTOMATING IMAGE LABELING FOR REMOTE SENSING USING CADASTRAL DATABASE AND VIDEO GAME ENGINE SIMULATION
Antoine Carreaud, Yves Deillon, Adrien Gressin, University of Applied Sciences Western Switzerland, Switzerland
Fri, 21 Jul, 08:42 - 08:54 Pacific Time (UTC -7)

FR1.R10.2: ACTIVE LEARNING GUIDED FINE-TUNING FOR ENHANCING SELF-SUPERVISED BASED MULTI-LABEL CLASSIFICATION OF REMOTE SENSING IMAGES
Lars Möllenbrok, Begüm Demir, Technische Universität Berlin, Germany
Fri, 21 Jul, 08:54 - 09:06 Pacific Time (UTC -7)

FR1.R10.3: TASK AGNOSTIC COST PREDICTION MODULE FOR SEMANTIC LABELING IN ACTIVE LEARNING
Srikumar Sastry, Nathan Jacobs, Washington University in St. Louis, United States; Mariana Belgiu, Raian Vargas Maretto, ITC Faculty Geo-Information Science and Earth Observation, Netherlands
Fri, 21 Jul, 09:06 - 09:18 Pacific Time (UTC -7)

FR1.R10.4: ANNOTATION COST EFFICIENT ACTIVE LEARNING FOR REMOTE SENSING IMAGE RETRIEVAL
Julia Henkel, Genc Hoxha, Gencer Sumbul, Lars Möllenbrok, Begüm Demir, Technische Universität Berlin, Germany
Fri, 21 Jul, 09:18 - 09:30 Pacific Time (UTC -7)

FR1.R10.5: Have Foundational Models Seen Satellite Images?
Akash Panigrahi, Sagar Verma, Matthieu Terris, Granular AI, India; Maria Vakalopoulou, CentraleSupelec, France
Fri, 21 Jul, 09:30 - 09:45 Pacific Time (UTC -7)

FR1.R10.D: Discussion