Results 21 to 30 of about 10,023,353 (346)
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks [PDF]
, 2018 Enhancing resolution is a permanent goal in magnetic resonance (MR) imaging, in order to keep improving diagnostic capability and registration methods.
Domínguez-Merino, Enrique +4 more
core +1 more source
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network [PDF]
Computer Vision and Pattern Recognition, 2016 Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and computational performance for single image super-resolution. In these methods, the low resolution (LR) input image is upscaled
Wenzhe Shi +7 more
semanticscholar +1 more source
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.
Xintao Wang +3 more
semanticscholar +1 more source
The untapped potential of arbitration in Hungary [PDF]
Strani pravni životArbitration in Hungary, despite its modern legal framework and strategic location in Central and Eastern Europe (CEE), remains underutilised compared to neighbouring countries such as Austria.
Dózsa Dániel +2 more
doaj +1 more source
Central American mountains inhibit eastern North Pacific seasonal tropical cyclone activity
Nature Communications, 2021 The eastern North Pacific (ENP) has the highest density of tropical cyclones (TCs) on earth, and yet the controls on TCs, from individual events to seasonal totals, remain poorly understood.
Dan Fu +5 more
doaj +1 more source
Residual Dense Network for Image Super-Resolution [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well.
Yulun Zhang +4 more
semanticscholar +1 more source
, 2011 https://nsuworks.nova.edu/shss_dcar/1004/thumbnail ...
Department of Conflict Analysis and Resolution
core +2 more sources
Frontiers in Neurorobotics, 2021 Non-specific low back pain (NSLBP) affects many people and represents a high cost for health care. Manual pressure release of myofascial trigger points is used to treat NSLBP and is very effective but difficult to standardize since it is provided by ...
Honorio Marín-Méndez +7 more
doaj +1 more source
Image Super-Resolution Using Deep Convolutional Networks [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images.
Chao Dong +3 more
semanticscholar +1 more source
Journal of Neuro-Ophthalmology, 1995 After having a radial keratotomy, a physician developed binocular diplopia. The differential diagnosis and management of symptoms by appropriate spectacles is described.
Johannesburg, South Africa ( host institution ) +2 more
openaire +3 more sources