Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network

    International Journal of Computer Vision, pp. 479-499, 2019.

    Cited by: 14|Bibtex|Views27|Links
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    Keywords:
    Important learning Single image super-resolution Lightweight network enhancement

    Abstract:

    Deep neural networks have achieved remarkable success in single image super-resolution (SISR). The computing and memory requirements of these methods have hindered their application to broad classes of real devices with limited computing power, however. One approach to this problem has been lightweight network architectures that balance t...More

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