VISOR-NET: Visibility Estimation Based on Deep Ordinal Relative Learning under Discrete-Level Labels

This paper proposes a novel end-to-end pipeline that uses the ordinal information and relative relation of images for visibility estimation (VISOR-NET). By encoding ordinal information into a set of relatively ordered image pairs, VISOR-NET can learn a global ranking function effectively. Due to the...

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Detalles Bibliográficos
Autores principales: Xun, Lina, Zhang, Huichao, Yan, Qing, Wu, Qi, Zhang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416699/
https://www.ncbi.nlm.nih.gov/pubmed/36015988
http://dx.doi.org/10.3390/s22166227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416699/
https://www.ncbi.nlm.nih.gov/pubmed/36015988
http://dx.doi.org/10.3390/s22166227

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