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Martin Jonak
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2020 – today
- 2023
- [c7]Vaishali Aggarwal, Geet Sahu
, Malay Kishore Dutta, Martin Jonak, Radim Burget:
Multi-scale Attention Network for Early Detection of Alzheimer's Disease from MRI images. ICUMT 2023: 50-55 - [c6]Martin Jonak, Jan Dorazil
, Martin Kolarík, Stepan Jezek, Radim Burget, Marek Kotrlý:
Forensic Comparison of Soil Particles Using Gaussian Mixture Models and Likelihood Ratio Test. ICUMT 2023: 188-192 - 2022
- [c5]Stepan Jezek, Martin Jonak, Radim Burget, Pavel Dvorak, Milos Skotak:
Anomaly detection for real-world industrial applications: benchmarking recent self-supervised and pretrained methods. ICUMT 2022: 64-69 - [c4]Martin Jonak, Stepan Jezek, Radim Burget:
Evaluation of Nested U-Net models performance on MVTec AD dataset. ICUMT 2022: 70-75 - [c3]Martin Kolarík
, Martin Jonak, Jiri Prinosil, Ondrej Krajsa, Radim Burget, Tomas Gajdaczek:
One-Class Learning Weed Plants Detection on Multispectral Images. ICUMT 2022: 76-79 - 2021
- [c2]Arnav Kumar, Rakesh Chandra Joshi
, Malay Kishore Dutta, Martin Jonak, Radim Burget:
Fruit-CNN: An Efficient Deep learning-based Fruit Classification and Quality Assessment for Precision Agriculture. ICUMT 2021: 60-65 - [c1]Stepan Jezek, Martin Jonak, Radim Burget, Pavel Dvorak, Milos Skotak:
Deep learning-based defect detection of metal parts: evaluating current methods in complex conditions. ICUMT 2021: 66-71
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