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  1. No Access

    Chapter and Conference Paper

    LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture

    In recent years, image super-resolution (SR) methods using convolutional neural networks (CNNs) have achieved successful results. Nevertheless, it is often difficult to apply them in resource-constrained envir...

    Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim… in Computer Vision – ECCV 2020 Workshops (2020)

  2. No Access

    Chapter and Conference Paper

    AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

    This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnificatio...

    Kai Zhang, Martin Danelljan, Yawei Li… in Computer Vision – ECCV 2020 Workshops (2020)