most citedNIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks

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cs.CG2021

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

Nina Miolane, Matteo Caorsi, Umberto Lupo +30

This paper presents the computational challenge on differential geometry and topology that happened within the ICLR 2021 workshop "Geometric and Topological Representation Learning…