Zobrazeno 1 - 10
of 577
pro vyhledávání: '"Ladjal A"'
Publikováno v:
Scale Space and Variational Methods in Computer Vision, May 2023, Santa Margherita di Pula, Italy. pp.314-325
In order to evaluate the capacity of a camera to render textures properly, the standard practice, used by classical scoring protocols, is to compute the frequential response to a dead leaves image target, from which is built a texture acutance metric
Externí odkaz:
http://arxiv.org/abs/2404.07212
Recent advances in the field of generative models and in particular generative adversarial networks (GANs) have lead to substantial progress for controlled image editing, especially compared with the pre-deep learning era. Despite their powerful abil
Externí odkaz:
http://arxiv.org/abs/2312.08256
Autor:
Nacer, Salah Neghmouche, Wassima, Lakhdari, Boussebaa, Walid, Abadi, Abderrezzak, Benyahia, Ibtissem, Mouhoubi, Djawahir, Ladjal, Amel, Hammi, Hamida, Bachir, Hakim, Dehliz, Abderrahmene, Moussaoui, Younes
Publikováno v:
In Pharmacological Research - Natural Products December 2024 5
Publikováno v:
Scientific Study & Research: Chemistry & Chemical Engineering, Biotechnology, Food Industry, Vol 25, Iss 1, Pp 001-018 (2024)
The Algerian montmorillonite clay in raw and purified form was evaluated as adsorbent for Crystal Violet (CV) cationic dye. The experimental results show that, the adsorption was pH independent when the adsorption capacity of CV dye was unchanged fo
Externí odkaz:
https://doaj.org/article/e6eddb219abf4d2999ee7d882bc9ddb1
Publikováno v:
In Algal Research July 2024 81
Autor:
Serai, Housseyn, Ziane, Mohamed Issam, Bennacer, Hamza, Hadjab, Moufdi, Denawi, Adam Hassan, Ouali, Mohammed Assam, Ladjal, Mohamed, Boukortt, Abdelkader
Publikováno v:
In Optik July 2024 306
Transfer learning from huge natural image datasets, fine-tuning of deep neural networks and the use of the corresponding pre-trained networks have become de facto the core of art analysis applications. Nevertheless, the effects of transfer learning a
Externí odkaz:
http://arxiv.org/abs/2011.02727
Deep learning methods are widely used for medical applications to assist medical doctors in their daily routines. While performances reach expert's level, interpretability (highlight how and what a trained model learned and why it makes a specific de
Externí odkaz:
http://arxiv.org/abs/2009.14001
The field of texture synthesis has witnessed important progresses over the last years, most notably through the use of Convolutional Neural Networks. However, neural synthesis methods still struggle to reproduce large scale structures, especially wit
Externí odkaz:
http://arxiv.org/abs/2008.01808
Publikováno v:
Computer Vision and Image Understanding 2022
Weakly supervised object detection (WSOD) using only image-level annotations has attracted a growing attention over the past few years. Whereas such task is typically addressed with a domain-specific solution focused on natural images, we show that a
Externí odkaz:
http://arxiv.org/abs/2008.01178