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Showing 1 to 4 of 4 for “"SISR"”.

  1. Frequency-domain deconvolution in deep learning

    … and single image super resolution (SISR). The results demonstrate the deconvolution layer's potential in certain scenarios, with marked improvements observed in image classification. For SISR tasks, though advantages were noticed under specific configurations, the traditional CNNs …

    cape-town Repository record for Frequency-domain deconvolution in deep learning (opens in a new tab)

  2. Combinatorics of a family of stochastic differential equations with an eye towards topological temperature

    Using the SISR asymptotic, a classification of a class of scale-separated stochastic differential equations is achieved using combinatorics and formal language theory. This is extended to a topological notion of temperature and qualitative results regarding the relatedness of scale separated …

    uiuc Repository record for Combinatorics of a family of stochastic differential equations with an eye towards topological temperature (opens in a new tab)

  3. Deep Convolutional Neural Networks Based Single Image Super-Resolution And Classification For Crater Detection

    … crater-specific Single Image Super Resolution (SISR) algorithm based on Deep CNNs. The key idea is the introduction of Crater Detection Loss (CDL) during the training process of the SISR network, to improve the super resolution performance on small craters. We then approach the problem of small …

    unr Repository record for Deep Convolutional Neural Networks Based Single Image Super-Resolution And Classification For Crater Detection (opens in a new tab)

  4. Deep neural networks for medical image super-resolution

    … feature map upsampling. Compared with existing SISR networks, this framework supports non-integer magnification with no adverse effects of pre-/post- processing. Specifically, this approach achieves comparable reconstruction accuracy and objective perceptual quality performance with much fewer …

    cambridge Repository record for Deep neural networks for medical image super-resolution (opens in a new tab)