21. Recovery of superquadric parameters from depth images using deep learningTim Oblak, 2020, master's thesis Keywords: superquadrics, parametric models, reconstruction, 3D, deep learning, convolutional neural networks, CNN, parameter recovery Full text (file, 8,69 MB) |
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23. Summarization of web commentsKatarina Milačić, 2020, master's thesis Keywords: word embeddings, cross-lingual embeddings, low-resource languages, abstractive summarization, extractive summarization, deep neural networks, language models, transfer learning Full text (file, 1,02 MB) |
24. Musculoskeletal images classification for detection of fractures using transfer learningIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2020, original scientific article Keywords: transfer learning, computer vision, convolutional neural networks, image classification, musculoskeletal images, deep learning, medical images, neuroscience Full text (file, 550,23 KB) This document has more files! More... |
25. Learning to combine local and global image information for contactless palmprint recognitionMARJAN STOIMCHEV, 2021, master's thesis/paper Keywords: Palmprint Recognition, Contactless Palmprint Images, Elastic Deformations, Convolutional Neural Networks, Deep Learning, Center Loss, Discriminative Feature Learning Full text (file, 18,55 MB) |
26. Cognitive relevance transform for population re-targetingGregor Koporec, Andrej Košir, Aleš Leonardis, Janez Perš, 2020, original scientific article Keywords: cognitive relevance, deep learning, crowd-sourcing, target user population, categorization, classification Full text (file, 4,62 MB) This document has more files! More... |
27. Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural networkYevhen Zelinskyi, Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen, 2020, original scientific article Keywords: light propagation model, Monte Carlo simulations, absorption, subdiffusive spatially resolved reflectance, optical fiber probe, deep neural networks, deep learning Full text (file, 3,68 MB) This document has more files! More... |
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30. Automatic segmentation of ethnomusicological field recordingsMatija Marolt, Ciril Bohak, Alenka Kavčič, Matevž Pesek, 2019, original scientific article Keywords: audio segmentation, field recordings, deep learning, music information retrieval Full text (file, 1,12 MB) This document has more files! More... |