Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nathan Hubens"'
Autor:
Victor Delvigne, Noé Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit, Jean-Philippe Vandeborre
Publikováno v:
Informatics, Vol 9, Iss 1, p 26 (2022)
Visual attention estimation is an active field of research at the crossroads of different disciplines: computer vision, deep learning, and medicine. One of the most common approaches to estimate a saliency map representing attention is based on the o
Externí odkaz:
https://doaj.org/article/0bd2e5ee06ca40e19823eefaa736d5b3
Publikováno v:
Electronics; Volume 11; Issue 22; Pages: 3789
FasterAI is a PyTorch-based library, aiming to facilitate the use of deep neural network compression techniques, such as sparsification, pruning, knowledge distillation, or regularization. The library is built with the purpose of enabling quick imple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bc12644340998a8427381a7aec79bcb
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::044e2b97cd28ab06ad131a0cf5ab6bcc
https://doi.org/10.1109/icip46576.2022.9897980
https://doi.org/10.1109/icip46576.2022.9897980
Publikováno v:
Applications of Digital Image Processing XLIV.
Recent advances in video manipulation techniques have made synthetic media creation more accessible than ever before. Nowadays, video edition is so realistic that we cannot rely exclusively on our senses to assess the veracity of media content. With
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b724ef2dfdda3f73216d123d9bc9dc2e
https://doi.org/10.1117/12.2596317
https://doi.org/10.1117/12.2596317
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network
Autor:
Matei Mancas, Bernard Gosselin, Titus Zaharia, Marc Decombas, Marius Preda, Nathan Hubens, Thierry Dutoit
Publikováno v:
APPIS
APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems
APPIS 2020: 3rd International Conference on Applications of Intelligent Systems
APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, Jan 2020, Las Palmas de Gran Canaria, Spain. pp.1-6, ⟨10.1145/3378184.3378224⟩
APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems
APPIS 2020: 3rd International Conference on Applications of Intelligent Systems
APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, Jan 2020, Las Palmas de Gran Canaria, Spain. pp.1-6, ⟨10.1145/3378184.3378224⟩
In recent years, deep neural networks have known a wide success in various application domains. However, they require important computational and memory resources, which severely hinders their deployment, notably on mobile devices or for real-time ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ef46939518799294494edf00624eb42
