Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Franz Götz-Hahn"'
Autor:
Renate Deinzer, Zdenka Eidenhardt, Keywan Sohrabi, Manuel Stenger, Dominik Kraft, Bernhard Sick, Franz Götz-Hahn, Carlotta Bottenbruch, Nils Berneburg, Ulrike Weik
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objective To assess the effect of the toothbrush handle on video-observed toothbrushing behaviour and toothbrushing effectiveness. Methods This is a randomized counterbalanced cross-over study. N = 50 university students and employees brushe
Externí odkaz:
https://doaj.org/article/68e55e855b11463da4665a9df96ee1e6
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0269715 (2022)
Data used to train supervised machine learning models are commonly split into independent training, validation, and test sets. This paper illustrates that complex data leakage cases have occurred in the no-reference image and video quality assessment
Externí odkaz:
https://doaj.org/article/be32d3b8a9f54df2a93695642dde2ac2
Publikováno v:
IEEE Access, Vol 9, Pp 72139-72160 (2021)
Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos. Hence, most traditional VQA methods under-perform in-the-wild. Deep learning approaches have had limited su
Autor:
Franz Götz-Hahn
Publikováno v:
Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends.
Annotated data is a requirement for any kind of modeling of subjective attributes and is usually constrained by a fixed budget available for paying annotators. The distribution of this budget is non-trivial, if the available data is large enough.In t
Data used to train supervised machine learning models are commonly split into independent training, validation, and test sets. This paper illustrates that complex data leakage cases have occurred in the no-reference image and video quality assessment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a509ab7e08012694a36ef36b349481c9
http://arxiv.org/abs/2009.05369
http://arxiv.org/abs/2009.05369
Publikováno v:
IEEE Access, Vol 9, Pp 72139-72160 (2021)
Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos. Hence, most traditional VQA methods under-perform in-the-wild. Deep learning approaches have had limited su
Externí odkaz:
https://doaj.org/article/54d893196436467fa9027f3b5bd18152
Autor:
Renate Deinzer, Zdenka Eidenhardt, Keywan Sohrabi, Manuel Stenger, Dominik Kraft, Bernhard Sick, Franz Götz‑ Hahn, Carlotta Bottenbruch, Nils Berneburg, Ulrike Weik
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/57a513b018e342d2baf61defb6c9c432