Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network

Preprint English OPEN
Zhang, Lei; Wang, Peng; Shen, Chunhua; Liu, Lingqiao; Wei, Wei; Zhang, Yanning; Hengel, Anton van den;
(2018)
  • Subject: Computer Science - Computer Vision and Pattern Recognition

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 ... View more
  • References (34)
    34 references, page 1 of 4

    Basu S, Christensen J (2013) Teaching classification boundaries to humans. In: AAAI

    Bengio Y, Louradour J, Collobert R, Weston J (2009) Curriculum learning. In: Proceedings of the 26th annual international conference on machine learning, ACM, pp 41-48

    Bevilacqua M, Roumy A, Guillemot C, Alberi-Morel ML (2012) Low-complexity single-image super-resolution based on nonnegative neighbor embedding

    Dong C, Loy CC, He K, Tang X (2016a) Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence 38(2):295-307

    Dong C, Loy CC, Tang X (2016b) Accelerating the super-resolution convolutional neural network. In: European Conference on Computer Vision, Springer, pp 391-407

    Efrat N, Glasner D, Apartsin A, Nadler B, Levin A (2013) Accurate blur models vs. image priors in single image super-resolution. In: Computer Vision (ICCV), 2013 IEEE International Conference on, IEEE, pp 2832-2839

    Glasner D, Bagon S, Irani M (2009) Super-resolution from a single image. In: Computer Vision, 2009 IEEE 12th International Conference on, IEEE, pp 349-356

    Hinton G, Vinyals O, Dean J (2015) Distilling the knowledge in a neural network. arXiv preprint arXiv:150302531

    Huang JB, Singh A, Ahuja N (2015) Single image super-resolution from transformed self-exemplars. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 5197- 5206

    Jiang L, Meng D, Mitamura T, Hauptmann AG (2014) Easy samples first: Self-paced reranking for zero-example multimedia search. In: Proceedings of the 22nd ACM international conference on Multimedia, ACM, pp 547-556

  • Related Research Results (2)
  • Related Organizations (2)
  • Metrics
Share - Bookmark