Deep Blind Image Quality Assessment Powered by Online Hard Example Mining

Recently, blind image quality assessment (BIQA) models based on deep neural networks (DNNs) have achieved impressive performance on existing datasets. However, due to the intrinsic imbalance property of the training set, not all distortions or images are handled equally well. Online hard example min...

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Veröffentlicht in:	IEEE transactions on multimedia 2023-01, Vol.25, p.1-11
Hauptverfasser:	Wang, Zhihua, Jiang, Qiuping, Zhao, Shanshan, Feng, Wensen, Lin, Weisi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Blind image quality assessment co-evolution Computational modeling Data models Datasets hard example mining Image quality network pruning Pipelines Predictive models Pruning Quality assessment Training Transformers
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