Enhancing convolutional neural network generalizability via low-rank weight approximation

Noise is ubiquitous during image acquisition. Sufficient denoising is often an important first step for image processing. In recent decades, deep neural networks (DNNs) have been widely used for image denoising. Most DNN-based image denoising methods require a large-scale dataset or focus on supervi...

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Hauptverfasser:	Gao, Chenyin, Yang, Shu, Zhang, Anru R
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Statistics - Applications Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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