CNNs Fusion for Building Detection in Aerial Images for the Building Detection Challenge
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This paper presents our contribution to the DeepGlobe Building Detection Challenge. We enhanced the SpaceNet Challenge winning solution by proposing a new fusion strategy based on a deep combiner using segmentation both results of different CNN and input data to segment. Segmentation results for all cities have been significantly improved (between 1 the smallest one to more than 7 adjacent buildings should be the next enhancement made to the solution.
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