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In this work, we present a simple yet effective unified model for perceptual quality assessment of image and video.
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“Image quality assessment: from error visibility to structural similarity,”
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“Mean squared error: Love it or leave it? a new look at signal fidelity measures,”
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“Unsupervised feature learning framework for no-reference image quality assessment,”
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“Convolutional neural networks for no-reference image quality assessment,”
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Leida Li, Weisi Lin, Xuesong Wang, Gaobo Yang, Khosro Bahrami, and Alex C Kot, · 2015
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“A no-reference bitstream-based perceptual model for video quality estimation of videos affected by coding artifacts and packet losses,”
Katerina Pandremmenou, Muhammad Shahid, Lisimachos P Kondi, and Benny Lövström, · 2015
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Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich, · 2015
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“Deep residual learning for image recognition,”
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“Rankiqa: Learning from rankings for no-reference image quality assessment,”
Xialei Liu, Joost van de Weijer, and Andrew D Bagdanov, · 2017
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“Deep video quality assessor: From spatio-temporal visual sensitivity to a convolutional neural aggregation network,”
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“End-to-end blind quality assessment of compressed videos using deep neural networks.,”
Wentao Liu, Zhengfang Duanmu, and Zhou Wang, · 2018
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“Shufflenet: An extremely efficient convolutional neural network for mobile devices,”
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun, · 2018
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“Averaging weights leads to wider optima and better generalization,”
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Yilin Wang, Sasi Inguva, and Balu Adsumilli, · 2019
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“Nima: Neural image assessment,”
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“Exploiting unlabeled data in cnns by self-supervised learning to rank,”
Xialei Liu, Joost Van De Weijer, and Andrew D Bagdanov, · 2019
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“Metaiqa: Deep meta-learning for no-reference image quality assessment,”
Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, and Guangming Shi, · 2020
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“Rapique: Rapid and accurate video quality prediction of user generated content,”
Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, and Alan C Bovik, · 2021
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