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Rectified Binary Network for Single-Image Super-Resolution
IEEE Transactions on Neural Networks and Learning SystemsBinary neural network (BNN) is an effective approach to reduce the memory usage and the computational complexity of full-precision convolutional neural networks (CNNs), which has been widely used in the field of deep learning. However, there are different properties between BNNs and real-valued models, making it difficult to draw on the experience of ...
Jingwei Xin +5 more
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Single-image super-resolution enhancement mechanism
AIP Conference Proceedings, 2022P. V. Pramila +4 more
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Memory-efficient single-image super-resolution
Big Data IV: Learning, Analytics, and Applications, 2022Nicholas Chiapputo, Colleen P. Bailey
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Single Image Super Resolution Using AI Generated Images
Image super-resolution has become increasingly important in various applications because of their demand for producing high output images from the low input images. Earlier for the image enhancements techniques like deblurring were performed to get the quality image.Khan, Faisal Rasheed +2 more
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An overview of precision oncology basket and umbrella trials for clinicians
Ca-A Cancer Journal for Clinicians, 2020Kristian Thorlund, Edward J Mills
exaly
Worldwide Variations in Colorectal Cancer
Ca-A Cancer Journal for Clinicians, 2009Ahmedin Jemal
exaly
Poly(ADP-Ribose) polymerase (PARP) inhibitors: Exploiting a synthetic lethal strategy in the clinic
Ca-A Cancer Journal for Clinicians, 2011Timothy A Yap, Johann Sebastian de Bono
exaly