Combining CNN and transformers for full-reference and no-reference image quality assessment

Author:

Zeng Chao,Kwong Sam

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference73 articles.

1. Deep neural networks for no-reference and full-reference image quality assessment;Bosse;IEEE Transactions on image processing,2017

2. No-reference image quality assessment for contrast-changed images via a semi-supervised robust pca model;Cao;Information Sciences,2021

3. Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning;Chen,2017

4. Perceptual image quality assessment with transformers;Cheon,2021

5. Chubarau, A., Clark, J., 2021. Vtamiq: Transformers for attention modulated image quality assessment. arXiv preprint arXiv:2110.01655.

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