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Attention-Aware Patch-Based CNN for Blind 360-Degree Image Quality Assessment
An attention-aware patch-based deep-learning model for a blind 360-degree image quality assessment (360-IQA) is introduced in this paper. It employs spatial attention mechanisms to focus on spatially significant features, in addition to short skip connections to align them. A long skip connection is...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647793/ https://www.ncbi.nlm.nih.gov/pubmed/37960376 http://dx.doi.org/10.3390/s23218676 |