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DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Alisjahbana, Irene, Li, Jiawei, Ben, Strong, Zhang, Yue
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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