Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 3, 356(2023)
No-reference image quality assessment based on feature tokenizer and Transformer
[13] ATHAR S, WANG Z L, WANG Z. Deep neural networks for blind image quality assessment: addressing the data challenge[J/OL]. arXiv, 12161(2109).
[18] VASWANI A, SHAZEER N, PARMAR N et al. Attention is all you need[C], 6000-6010(2017).
[20] DOSOVITSKIY A, BEYER L, KOLESNIKOV A et al. An image is worth 16×16 words: transformers for image recognition at scale[C](2021).
[26] IOFFE S, SZEGEDY C. Batch normalization: accelerating deep network training by reducing internal covariate shift[C], 448-456(2015).
[27] XIAO T T, SINGH M, MINTUN E et al. Early convolutions help transformers see better[C], 30392-30400(2021).
[38] KINGMA D P, BA J. Adam: a method for stochastic optimization[C], 1-15(2015).
Get Citation
Copy Citation Text
Wei SONG, Jia-jin LI, Xiao-chen LIU, Zhi-xiang LIU, Shao-hua SHI. No-reference image quality assessment based on feature tokenizer and Transformer[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(3): 356
Category: Research Articles
Received: Jun. 29, 2022
Accepted: --
Published Online: Apr. 3, 2023
The Author Email: Wei SONG (wsong@shou.edu.cn)