2 citations · 3 across the 5 of their papers we have counts for
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cs.CV2023★ 2 cited
xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network
Tibor Sloboda, Lukáš Hudec, Wanda Benešová
In the domain of unsupervised image-to-image transformation using generative transformative models, CycleGAN has become the architecture of choice. One of the primary downsides of…
cs.CV2021
Single Image Automatic Radial Distortion Compensation Using Deep Convolutional Network
Igor Janos, Wanda Benesova
In many computer vision domains, the input images must conform with the pinhole camera model, where straight lines in the real world are projected as straight lines in the image. P…
cs.CV2021★ 1 cited
Improving a neural network model by explanation-guided training for glioma classification based on MRI data
Frantisek Sefcik, Wanda Benesova
In recent years, artificial intelligence (AI) systems have come to the forefront. These systems, mostly based on Deep learning (DL), achieve excellent results in areas such as imag…