MetaIQA: Deep meta-learning for no-reference image quality assessment

H Zhu, L Li, J Wu, W Dong… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Recently, increasing interest has been drawn in exploiting deep convolutional neural
networks (DCNNs) for no-reference image quality assessment (NR-IQA). Despite of the …
被引用次数：341 相关文章

MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment

H Zhu, L Li, J Wu, W Dong, G Shi - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Recently, increasing interest has been drawn in exploiting deep convolutional neural
networks (DCNNs) for no-reference image quality assessment (NR-IQA). Despite of the …

MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment

H Zhu, L Li, J Wu, W Dong, G Shi - 2020 - fugumt.com
This paper presents a no-reference IQA metric based on deep meta-learning. We first collect
a number of NR-IQA tasks for different distortions. Then meta-learning is adopted to learn …

MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment

H Zhu, L Li, J Wu, W Dong, G Shi - 2020 IEEE/CVF Conference on …, 2020 - computer.org
Recently, increasing interest has been drawn in exploiting deep convolutional neural
networks (DCNNs) for no-reference image quality assessment (NR-IQA). Despite of the …

MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment

H Zhu, L Li, J Wu, W Dong, G Shi - arXiv preprint arXiv:2004.05508, 2020 - arxiv.org
Recently, increasing interest has been drawn in exploiting deep convolutional neural
networks (DCNNs) for no-reference image quality assessment (NR-IQA). Despite of the …

MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment

H Zhu, L Li, J Wu, W Dong, G Shi - 2020 IEEE/CVF Conference …, 2020 - ieeexplore.ieee.org
Recently, increasing interest has been drawn in exploiting deep convolutional neural
networks (DCNNs) for no-reference image quality assessment (NR-IQA). Despite of the …