On the robustness and generalization ability of building footprint extraction on the example of segnet and mask r-cnn

HIGHLIGHTS

• who: Muntaha Sakeena and collaborators from the Institute of Creative Media Technologies, StPu00f6lten University of Applied Sciences, Campus-Platz, StPu00f6lten, Austria have published the research: On the Robustness and Generalization Ability of Building Footprint Extraction on the Example of SegNet and Mask R-CNN, in the Journal: (JOURNAL) of 18/04/2023
• what: The aim of this study is to close this gap by investigating questions on the practical applicability of BFP extraction. The authors evaluate the robustness and generalizability of state-of-the-art methods as well as their transfer learning capabilities. The authors . . .
  

   

  

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