5 datasets found

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  • Transform Quantization for CNN Compression

    The dataset used in this paper is a collection of convolutional neural network (CNN) weights, which are compressed using transform quantization.

  • Flickr1024

    Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views.

  • Middlebury

    The Middlebury dataset is a benchmark for stereo vision and 3D reconstruction.

  • DIV2K

    Single Image Super-Resolution (SR) aims to generate a High Resolution (HR) image I SR from a low resolution (LR) im-age I LR such that it is similar to original HR image I HR....

  • LSUN

    The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.