A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing

Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Dong Wang. A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing. In Michele Coscia, Alfredo Cuzzocrea, Kai Shu, Ralf Klamma, Sharyn O'Halloran, Jon G. Rokne, editors, ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8 - 11, 2021. pages 151-158, ACM, 2021. [doi]

Abstract

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