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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sendjasni, Abderrezzaq, Larabi, Mohamed-Chaker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647793/
https://www.ncbi.nlm.nih.gov/pubmed/37960376
http://dx.doi.org/10.3390/s23218676

Ejemplares similares