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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |