AFGL-Net: Attentive Fusion of Global and Local Deep Features for Building Façades Parsing

In this paper, we propose a deep learning framework, namely AFGL-Net to achieve building façade parsing, i.e., obtaining the semantics of small components of building façade, such as windows and doors. To this end, we present an autoencoder embedding position and direction encoding for local feature...

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Détails bibliographiques

Auteurs principaux:	Dong Chen, Guiqiu Xiang, Jiju Peethambaran, Liqiang Zhang, Jing Li, Fan Hu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2021-12-01
Collection:	Remote Sensing
Sujets:	façade parsing semantic segmentation MLP autoencoder global transformer attentive feature fusion
Accès en ligne:	https://www.mdpi.com/2072-4292/13/24/5039
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