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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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2021-12-01
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| Serie: | Remote Sensing |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2072-4292/13/24/5039 |
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