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pro vyhledávání: '"Fratczak, Piotr"'
Object detection is essential to many perception algorithms used in modern robotics applications. Unfortunately, the existing models share a tendency to assign high confidence scores for out-of-distribution (OOD) samples. Although OOD detection has b
Externí odkaz:
http://arxiv.org/abs/2307.16433
Autor:
Chachuła, Krystian, Łyskawa, Jakub, Olber, Bartłomiej, Frątczak, Piotr, Popowicz, Adam, Radlak, Krystian
The quality of training datasets for deep neural networks is a key factor contributing to the accuracy of resulting models. This effect is amplified in difficult tasks such as object detection. Dealing with errors in datasets is often limited to acce
Externí odkaz:
http://arxiv.org/abs/2211.13993
Publikováno v:
In International Journal of Industrial Ergonomics March 2021 82
Autor:
Fratczak, Piotr
As industrial automation is evolving, the notion of combining the strengths of humans and robots in Human-Robot Collaboration becomes more common. Although there are countless risks in removing physical barriers separating humans and industrial robot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e1a9a7be2d296a921b67953a4fc294a
Publikováno v:
ACM International Conference Proceeding Series; 11/19/2019, p1-7, 7p