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- W2893018053 abstract "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% improvement over the baseline for the smallest one to more than 7% for the biggest one). The separation of adjacent buildings should be the next enhancement made to the solution." @default.
- W2893018053 created "2018-10-05" @default.
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- W2893018053 date "2018-06-18" @default.
- W2893018053 modified "2023-10-15" @default.
- W2893018053 title "CNNs Fusion for Building Detection in Aerial Images for the Building Detection Challenge" @default.
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