| A compact convolutional neural network for textured surface anomaly detection D Racki, D Tomazevic, D Skocaj 2018 IEEE winter conference on applications of computer vision (WACV), 1331-1339, 2018 | 111 | 2018 |
| Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks D Rački, D Tomaževič, D Skočaj Neural Computing and Applications 34 (1), 631-650, 2022 | 9 | 2022 |
| The effect of different CNN configurations on textured-surface defect segmentation and detection performance D Racki, D Tomazevic, D Skocaj 23rd Computer Vision Winter Workshop, 8, 2018 | 6 | 2018 |
| 3D Orientation Estimation of Pharmaceutical Minitablets with Convolutional Neural Network G Podrekar, D Kitak, A Mehle, D Rački, R Dreu, D Tomaževič International Work-Conference on Artificial Neural Networks, 208-219, 2019 | 3 | 2019 |
| Evaluation of performance of smart mobile devices in machine vision tasks D Skocaj, D Tabernik, D Racki, M Hegedic, A Vrecko, M Kristan Proc. Comput. Vis. Winter Workshop, 2014 | 3 | 2014 |
| Towards surface anomaly detection with deep learning D Racki, D Tomaževic, D Skocaj Proceedings of the 26th International Electrotechnical and Computer Science …, 2017 | 2 | 2017 |
| Combining unsupervised and supervised deep learning approaches for surface anomaly detection D Rački, D Tomaževič, D Skočaj Sixteenth International Conference on Quality Control by Artificial Vision …, 2023 | 1 | 2023 |
| Deep Learning-Based Machine Vision System for Use in High-Shear Granulation A Mehle, D Kitak, D Rački, D Tomaževič 36th IFPAC, Jun, 2022 | 1 | 2022 |
| Coupling of unsupervised and supervised deep learning-based approaches for surface anomaly detection D Rački, D Tomaževič, D Skočaj Journal of Electronic Imaging 33 (3), 031207-031207, 2024 | | 2024 |
| A unified convolutional neural network for textured-surface anomaly detection D Racki, D Tomazevic, D Skocaj Elektrotehniski vestnik - Electrochemical review 85 (5), 279-285, 2018 | | 2018 |
| Filtering out nondiscriminative keypoints by geometry based keypoint constellations D Racki, M Kristan Proceedings of the 24th International Electrotechnical and Computer Science …, 2015 | | 2015 |
| MERJENJE NATANČNOSTI PAMETNIH MOBILNIH NAPRAV V APLIKACIJAH STROJNEGA VIDA D Skočaj, D Tabernik, D Rački, M Hegedič, A Vrečko, M Kristan ROSUS 2014, 50, 0 | | |
Danijel SkocajProfessor, University of Ljubljana在 fri.uni-lj.si 的电子邮件经过验证
