Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Bonnaerens A"'
Autor:
Bonnaerens, Maxim, Dambre, Joni
Publikováno v:
Transactions on Machine Learning Research (2023)
Vision transformers have demonstrated remarkable success in a wide range of computer vision tasks over the last years. However, their high computational costs remain a significant barrier to their practical deployment. In particular, the complexity o
Externí odkaz:
http://arxiv.org/abs/2307.10780
In this work we propose a methodology to accurately evaluate and compare the performance of efficient neural network building blocks for computer vision in a hardware-aware manner. Our comparison uses pareto fronts based on randomly sampled networks
Externí odkaz:
http://arxiv.org/abs/2208.12694
This paper proposes anchor pruning for object detection in one-stage anchor-based detectors. While pruning techniques are widely used to reduce the computational cost of convolutional neural networks, they tend to focus on optimizing the backbone net
Externí odkaz:
http://arxiv.org/abs/2104.00432
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Computer Vision and Image Understanding August 2022 221
Habitual Running Style Matters: Duty Factor, and Not Stride Frequency, Relates to Loading Magnitude.
Autor:
Meulen, Lennert Van der, Bonnaerens, Senne, Caekenberghe, Ine Van, Clercq, Dirk De, Segers, Veerle, Fiers, Pieter
Publikováno v:
Journal of Human Kinetics; 2024, Vol. 94, p37-45, 9p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12615 (2022)
In this paper, we propose a methodology to accurately evaluate and compare the performance of efficient neural network building blocks for computer vision in a hardware-aware manner. Our comparison uses pareto fronts based on randomly sampled network
Externí odkaz:
https://doaj.org/article/a8b53222bbe24b46966c332456eab70f
Autor:
Wim Derave, Senne Bonnaerens, Pieter Fiers, Samuel Galle, Rud Derie, Peter Aerts, Edward Frederick, Yasunori Kaneko, Dirk De Clercq, Veerle Segers
Publikováno v:
BMJ Open Sport & Exercise Medicine, Vol 7, Iss 1 (2021)
Objectives Recreational runners show a large interindividual variation in spatiotemporal characteristics. This research focused on slow runners and intended: (1) to document the variance in duty factor (DF) between runners in a real-life running sett
Externí odkaz:
https://doaj.org/article/08b01b8372bb4b6c8727caf2bca74782
Autor:
Rud Derie, Pieter Van den Berghe, Joeri Gerlo, Senne Bonnaerens, Ine Van Caekenberghe, Pieter Fiers, Dirk De Clercq, Veerle Segers
Publikováno v:
Scandinavian Journal of Medicine & Science in Sports. 32:1142-1152
The present study aimed to determine whether runners can reduce impact measures after a six-session in-the-field gait retraining program with real-time musical biofeedback on axial peak tibial acceleration (PTATwenty trained high-impact runners were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0d68e3023f5cab0525060d7f92f2d04
https://doi.org/10.1111/sms.14162
https://doi.org/10.1111/sms.14162