Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Domen Tabernik"'
Publikováno v:
IEEE Access, Vol 8, Pp 189855-189868 (2020)
Recent trends in the development of autonomous vehicles focus on real-time processing of vast amounts of data from various sensors. The data can be acquired using multiple cameras, lidars, ultrasonic sensors, and radars to collect useful information
Externí odkaz:
https://doaj.org/article/eee94a41723740e0a3dc82c7020a0732
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
For successful operation in real-world environments, a mobile robot requires an effective spatial model. The model should be compact, should possess large expressive power and should scale well with respect to the number of modelled categories. In th
Externí odkaz:
https://doaj.org/article/bb0814ddeaf84e5cbd644a1d392225e8
Publikováno v:
IEEE Access, Vol 8, Pp 189855-189868 (2020)
Recent trends in the development of autonomous vehicles focus on real-time processing of vast amounts of data from various sensors. The data can be acquired using multiple cameras, lidars, ultrasonic sensors, and radars to collect useful information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bc77f2ea01dffd0626089c5cdb4ba2f
https://ieeexplore.ieee.org/document/9223648/
https://ieeexplore.ieee.org/document/9223648/
Deep-learning methods have recently started being employed for addressing surface-defect detection problems in industrial quality control. However, with a large amount of data needed for learning, often requiring high-precision labels, many industria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d8c5e20291e4a3c28a9d38ca0326f8c
http://arxiv.org/abs/2104.06064
http://arxiv.org/abs/2104.06064
Publikováno v:
ICPR
Segmentation-based, two-stage neural network has shown excellent results in the surface defect detection, enabling the network to learn from a relatively small number of samples. In this work, we introduce end-to-end training of the two-stage network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f33137788bb5a285b97f2fcca3249d38
https://doi.org/10.1109/icpr48806.2021.9412092
https://doi.org/10.1109/icpr48806.2021.9412092
Publikováno v:
ICPR
Anomaly detection in complex data structures is one of the most challenging problems in computer vision. In many real-world problems, for example in the quality control in modern manufacturing, the anomalous samples are usually rare, resulting in (hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::072cc509d99d6607ed21413e2ed42721
https://doi.org/10.1109/icpr48806.2021.9413265
https://doi.org/10.1109/icpr48806.2021.9413265
Autor:
Domen Tabernik, Danijel Skočaj
Automatic detection and recognition of traffic signs plays a crucial role in management of the traffic-sign inventory. It provides accurate and timely way to manage traffic-sign inventory with a minimal human effort. In the computer vision community
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::304a9eeecd11eb6f217001eba010d5ff
http://arxiv.org/abs/1904.00649
http://arxiv.org/abs/1904.00649
Publikováno v:
ROSUS 2019 - Računalniška obdelava slik in njena uporaba v Sloveniji 2019: Zbornik 14. strokovne konference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::911f986292fbef3813006c0e7552acbf
https://doi.org/10.18690/978-961-286-244-2.2
https://doi.org/10.18690/978-961-286-244-2.2
Convolutional neural networks excel in a number of computer vision tasks. One of their most crucial architectural elements is the effective receptive field size, that has to be manually set to accommodate a specific task. Standard solutions involve l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d674b09f073e64edec14e32695bcd8ae
http://arxiv.org/abs/1902.07474
http://arxiv.org/abs/1902.07474