MA8b-4.4

RoofSAM: Adapting the Segment Anything Model to Rooftop Classification in Aerial Images

Adrian Bauer, Jan-Christoph Krabbe, Kevin Kollek, Jörg Velten, Anton Kummert, University of Wuppertal, Germany
Session:
MA8b-4: Image Analysis Poster
Track:
Speech, Image and Video Processing
Location:
Poster - Fred Farr & Kiln
Presentation Time:
Mon, 28 Oct, 10:15 - 11:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MA8b-4
MA8b-4.1: Generative Multiplane Image (MPI): Text to Volumetric Representation
Dewei Hu, Vanderbilt University, United States; Dae Yeol Lee, Guan-Ming Su, Dolby Laboratories, United States
MA8b-4.2: 2.5D Super-Resolution for Defect Detection in X-ray Computed Tomography of Additively Manufactured Parts
Haley Duba-Sullivan, Aniket Pramanik, Singanallur Venkatakrishnan, Amirkoushyar Ziabari, Oak Ridge National Laboratory, United States
MA8b-4.3: Semantic Image Segmentation Annotation Refinement using SAM
Jan-Christoph Krabbe, Adrian Bauer, Kevin Kollek, Jörg Velten, Anton Kummert, University of Wuppertal, Germany
MA8b-4.4: RoofSAM: Adapting the Segment Anything Model to Rooftop Classification in Aerial Images
Adrian Bauer, Jan-Christoph Krabbe, Kevin Kollek, Jörg Velten, Anton Kummert, University of Wuppertal, Germany
MA8b-4.5: On the Robustness of Out-of-Distribution Detection Methods for Camera-based Autonomous Driving
Christian Huber, Bernhard Lehner, Silicon Austria Labs GmbH, Austria; Claus Hofmann, Bernhard Moser, Reinhard Feger, Johannes Kepler University, Austria
Contacts