Deep blind image quality assessment by employing FR-IQA
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IEEE
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http://xplorestaging.ieee.org/ielx7/8267582/8296222/08296869.pdf?arnumber=8296869
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Unsupervised blind image quality assessment via joint spatial and transform features;Scientific Reports;2023-07-05
2. Bridge the gap between full-reference and no-reference: A totally full-reference induced blind image quality assessment via deep neural networks;China Communications;2023-06
3. Hybrid No-Reference Quality Assessment for Surveillance Images;Information;2022-12-16
4. Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark;IEEE Transactions on Circuits and Systems for Video Technology;2022-11
5. Investigating Normalization Methods for CNN-Based Image Quality Assessment;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16
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