12 citations · 26 across the 11 of their papers we have counts for
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cs.LG2023
Using simulation to calibrate real data acquisition in veterinary medicine
Krystian Strzałka, Szymon Mazurek, Maciej Wielgosz +12
This paper explores the innovative use of simulation environments to enhance data acquisition and diagnostics in veterinary medicine, focusing specifically on gait analysis in dogs…
cs.LG2020
When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity
Marcin Pietroń, Dominik Żurek
This paper is focused on the improvement the efficiency of the sparse convolutional neural networks (CNNs) layers on graphic processing units (GPU). The Nvidia deep neural network…
cs.LG2020
Retrain or not retrain? -- efficient pruning methods of deep CNN networks
Marcin Pietron, Maciej Wielgosz
Convolutional neural networks (CNN) play a major role in image processing tasks like image classification, object detection, semantic segmentation. Very often CNN networks have fro…