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FR3.L1: Deep Learning using High Resolution Optical Imagery

Session Type: Oral
Time: Friday, July 28, 13:40 - 15:20
Location: Ballroom B
Session Chairs: Yuliya Tarabalka, Inria Sophia Antipolis-Méditerranée and Emmanuel Maggiori, Inria Sophia Antipolis-Méditerranée
 
  FR3.L1.1: HIGH-RESOLUTION IMAGE CLASSIFICATION WITH CONVOLUTIONAL NETWORKS
         Emmanuel Maggiori; Inria Sophia Antipolis Mediterranee
         Yuliya Tarabalka; Inria Sophia Antipolis Mediterranee
         Guillaume Charpiat; Inria Saclay
         Pierre Alliez; Inria Sophia Antipolis Mediterranee
 
  FR3.L1.2: URBAN LAND COVER CLASSIFICATION WITH MISSING DATA USING DEEP CONVOLUTIONAL NEURAL NETWORKS
         Michael Kampffmeyer; UiT The Arctic Univeristy of Norway
         Arnt-Børre Salberg; Norwegian Computing Center
         Robert Jenssen; UiT The Arctic Univeristy of Norway
 
  FR3.L1.3: SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH EXPLICIT CLASS-BOUNDARY MODELING
         Dimitrios Marmanis; German Aerospace Center (DLR)
         Konrad Schindler; ETH Zurich
         Jan Dirk Wegner; ETH Zurich
         Mihai Datcu; German Aerospace Center (DLR)
         Uwe Stilla; TU Munich
 
  FR3.L1.4: DETECTION OF INFORMAL SETTLEMENTS FROM VHR SATELLITE IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
         Nicholus Mboga; University of Twente
         Claudio Persello; University of Twente
         John Ray Bergado; University of Twente
         Alfred Stein; University of Twente
 
  FR3.L1.5: JOINT HEIGHT ESTIMATION AND SEMANTIC LABELING OF MONOCULAR AERIAL IMAGES WITH CNNS
         Shivangi Srivastava; University of Zurich
         Michele Volpi; University of Zurich
         Devis Tuia; University of Zurich
 
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