Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution

Convolutional neural network (CNN)-based methods have achieved great success for single-image superresolution (SISR). However, most models attempt to improve reconstruction accuracy while increasing the requirement of number of model parameters. To tackle this problem, in this paper, we study reduci...

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Hauptverfasser:	Banerjee, Supratik, Ozcinar, Cagri, Rana, Aakanksha, Smolic, Aljosa, Manzke, Michael
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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