Presentation Information

[D-12-80]Effectiveness of Multi-Task Learning for Multi-Class Damage Severity Classification of Disaster-Affected Building Images

◎△Yuto Yamada1, Kaiyu Suzuki1, Ichiro Matsuda1, Shohei Taga1, Tomofumi Matsuzawa1, Yasuo Nihei1, Jin Kashiwada1 (1. Tokyo University of Science)

Keywords:

Multi-task learning,Damage severity classification,Image recognition,Class imbalance,Self-supervised learning