Výsledky vyhledávání

Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks

Autor: Dejan Tomaževič, Danijel Skočaj, Domen Racki

Publikováno v: Neural Computing and Applications. 34:631-650

Deep-learning-based approaches have proven to outperform other approaches in various computer vision tasks, making application-focused machine learning a promising area of research in automated visual inspection. In this work, we apply deep learning

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::29679c9860bd4a3a7b858de99fc5239b
https://doi.org/10.1007/s00521-021-06397-6

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A Compact Convolutional Neural Network for Textured Surface Anomaly Detection

Autor: Danijel Skočaj, Dejan Tomazevic, Domen Racki

Publikováno v: WACV

Convolutional neural methods have proven to outperform other approaches in various computer vision tasks. In this paper we apply the deep learning technique to the domain of automated visual surface inspection. We design a unified CNN-based framework

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::88c4fd9372659c653a99346ecda21607
https://doi.org/10.1109/wacv.2018.00150

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