FR2.R10.5

Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification

Dawood Wasif, Technical University of Munich & National University of Sciences and Technology, Germany; Yuanyuan Wang, Technical University of Munich, Germany; Muhammad Shahzad, Technical University of Munich & National University of Sciences and Technology, Germany; Rudolph Triebel, German Aerospace Center, Germany; Xiaoxiang Zhu, Technical University of Munich, Germany

Session:
FR2.R10: Probabilistic Models, Uncertainty, and Explainability Oral

Track:
AI and Big Data

Location:
Room 101

Presentation Time:
Fri, 21 Jul, 11:03 - 11:15 Pacific Time (UTC -7)

Session Co-Chairs:
Srikumar Sastry, Washington University in St. Louis and Nathan Jacobs, Washington University in St. Louis
Session Manager:
Kelsey Doerksen
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Session FR2.R10
FR2.R10.1: EVALUATION OF A META-TRANSFER APPROACH FOR FEW-SHOT REMOTE SENSING SCENE CLASSIFICATION
Keli Cheng, Grant Scott, University of Missouri, United States
FR2.R10.2: CROSSSEG: CROSS-SCENE FEW-SHOT AERIAL SEGMENTATION USING PROBABILISTIC PROTOTYPES
Yu Zhang, University of Kentucky, United States; M. Usman Rafique, Kitware, Inc., United States; Nathan Jacobs, Washington University in St. Louis, United States
FR2.R10.3: Improving Deep Learning for Remote Sensing Research through a Bayesian Approach with Uncertainty Decomposition
Pedro Ortiz, Eleanor Casas, Marko Orescanin, Scott Powell, Naval Postgraduate School, United States; Veljko Petkovic, University of Maryland, United States
FR2.R10.4: FEATURE ATTRIBUTION METHODS FOR MULTIVARIATE TIME-SERIES EXPLAINABILITY IN REMOTE SENSING
Hiba Najjar, University of Kaiserslautern-Landau (RPTU), Germany; Patrick Helber, Benjamin Bischke, Peter Habelitz, Vision Impulse GmbH, Germany; Cristhian Sanchez, German Research Center for Artificial Intelligence (DFKI), Germany; Francisco Mena, University of Kaiserslautern-Landau (RPTU), Germany; Miro Miranda, Deepak Pathak, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, German Research Center for Artificial Intelligence (DFKI), Germany; Andreas Dengel, University of Kaiserslautern-Landau (RPTU), Germany
FR2.R10.5: Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification
Dawood Wasif, Technical University of Munich & National University of Sciences and Technology, Germany; Yuanyuan Wang, Technical University of Munich, Germany; Muhammad Shahzad, Technical University of Munich & National University of Sciences and Technology, Germany; Rudolph Triebel, German Aerospace Center, Germany; Xiaoxiang Zhu, Technical University of Munich, Germany
Resources
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