Conv-Former: A Novel Network Combining Convolution and Self-Attention for Image Quality Assessment

To address the challenge of no-reference image quality assessment (NR-IQA) for authentically and synthetically distorted images, we propose a novel network called the Combining Convolution and Self-Attention for Image Quality Assessment network (Conv-Former). Our model uses a multi-stage transformer...

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Detalles Bibliográficos
Autores principales: Han, Lintao, Lv, Hengyi, Zhao, Yuchen, Liu, Hailong, Bi, Guoling, Yin, Zhiyong, Fang, Yuqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824537/
https://www.ncbi.nlm.nih.gov/pubmed/36617024
http://dx.doi.org/10.3390/s23010427

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824537/
https://www.ncbi.nlm.nih.gov/pubmed/36617024
http://dx.doi.org/10.3390/s23010427

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