WE2.R1: Deep Learning for Image Analysis
Wed, 19 Jul, 10:15 - 11:30 Pacific Time (UTC -7)
Location: Room 1
Session Type: Oral
Track: Data Analysis
Wed, 19 Jul, 10:15 - 10:27 Pacific Time (UTC -7)

WE2.R1.1: TOWARD FOUNDATION MODELS FOR EARTH MONITORING: GENERALIZABLE DEEP LEARNING MODELS FOR NATURAL HAZARD SEGMENTATION
Johannes Jakubik, Michael Vössing, Karlsruhe Institute of Technology, Germany; Michal Muszynski, Thomas Brunschwiler, IBM Research Europe, Switzerland; Niklas Kühl, University of Bayreuth, Germany
Wed, 19 Jul, 10:27 - 10:39 Pacific Time (UTC -7)

WE2.R1.2: SEMI-SUPERVISED SATELLITE IMAGE SEGMENTATION USING SPATIAL AND TEMPORALLY INFORMED POISSON LEARNING
Xiqi Fei, Minh Tri Le, Duy H. Thai, Konrad Wessels, George Mason University, United States; Andreas Züfle, Emory University, United States
Wed, 19 Jul, 10:39 - 10:51 Pacific Time (UTC -7)

WE2.R1.3: ARE CLASSIC FORENSIC TOOLS EFFECTIVE ON SATELLITE IMAGERY?
Matthieu Serfaty, Tina Nikoukhah, Quentin Bammey, Rafael Grompone von Gioi, Université Paris Saclay, France; Carlo de Franchis, Kayrros SAS, France
Wed, 19 Jul, 10:51 - 11:03 Pacific Time (UTC -7)

WE2.R1.4: A DATA-CENTRIC APPROACH FOR RAPID GENERATION OF REMOTE SENSING DATASETS USING ITERATIVE LEARNING AND SPARSE ANNOTATIONS
Osmar Carvalho, Anesmar Albuquerque, Argelica Saiaka Luiz, Pedro Ferreira, Osmar de Carvalho Junior, Daniel Silva, University of Brasília, Brazil; Lichao Mou, Technical University of Munich, Germany
Wed, 19 Jul, 11:03 - 11:15 Pacific Time (UTC -7)

WE2.R1.5: DIFFUSION MODELS FOR REMOTE SENSING IMAGERY SEMANTIC SEGMENTATION
Christian Ayala, Rubén Sesma, Carlos Aranda, Tracasa Instrumental S.L., Spain; Mikel Galar, Public University of Navarre, Spain
Wed, 19 Jul, 11:15 - 11:30 Pacific Time (UTC -7)

WE2.R1.D: Discussion