Abstract:Abstract. Over the past decade, the use of machine learning and deep learning algorithms to support 3D semantic segmentation of point clouds has significantly increased, and their impressive results has led to the application of such algorithms for the semantic modeling of heritage buildings. Nevertheless, such applications still face several significant challenges, caused in particular by the high number of training data required during training, by the lack of specific data in the heritage building scenarios… Show more
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