Zobrazeno 1 - 10
of 188
pro vyhledávání: '"MAHMOUDI, SAÏD"'
Autor:
Halin, Anaïs, Piérard, Sébastien, Vandeghen, Renaud, Gérin, Benoît, Zanella, Maxime, Colot, Martin, Held, Jan, Cioppa, Anthony, Jean, Emmanuel, Bontempi, Gianluca, Mahmoudi, Saïd, Macq, Benoît, Van Droogenbroeck, Marc
Characterizing domains is essential for models analyzing dynamic environments, as it allows them to adapt to evolving conditions or to hand the task over to backup systems when facing conditions outside their operational domain. Existing solutions ty
Externí odkaz:
http://arxiv.org/abs/2411.14827
Autor:
Khoury, Karim El, Zanella, Maxime, Gérin, Benoît, Godelaine, Tiffanie, Macq, Benoît, Mahmoudi, Saïd, De Vleeschouwer, Christophe, Ayed, Ismail Ben
Vision-Language Models for remote sensing have shown promising uses thanks to their extensive pretraining. However, their conventional usage in zero-shot scene classification methods still involves dividing large images into patches and making indepe
Externí odkaz:
http://arxiv.org/abs/2409.00698
Computer aided detection and diagnosis systems based on deep learning have shown promising performance in breast cancer detection. However, there are cases where the obtained results lack justification. In this study, our objective is to highlight th
Externí odkaz:
http://arxiv.org/abs/2305.20058
Autor:
Piérard, Sébastien, Cioppa, Anthony, Halin, Anaïs, Vandeghen, Renaud, Zanella, Maxime, Macq, Benoît, Mahmoudi, Saïd, Van Droogenbroeck, Marc
Various tasks encountered in real-world surveillance can be addressed by determining posteriors (e.g. by Bayesian inference or machine learning), based on which critical decisions must be taken. However, the surveillance domain (acquisition device, o
Externí odkaz:
http://arxiv.org/abs/2211.10119
Sketch-based image retrieval (SBIR) is the task of retrieving natural images (photos) that match the semantics and the spatial configuration of hand-drawn sketch queries. The universality of sketches extends the scope of possible applications and inc
Externí odkaz:
http://arxiv.org/abs/2209.06629
Autor:
Zhao, Xigang, Liu, Peng, Mahmoudi, Saïd, Garg, Sahil, Kaddoum, Georges, Hassan, Mohammad Mehedi
Publikováno v:
In Alexandria Engineering Journal December 2024 108:436-444
Publikováno v:
In Journal of Sound and Vibration 26 May 2024 578
Recently, many works have been inspired by the success of deep learning in computer vision for plant diseases classification. Unfortunately, these end-to-end deep classifiers lack transparency which can limit their adoption in practice. In this paper
Externí odkaz:
http://arxiv.org/abs/1905.13523
Publikováno v:
In Biomedical Signal Processing and Control January 2023 79 Part 2
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences October 2022 34(9):7494-7514