Zobrazeno 1 - 10
of 395
pro vyhledávání: '"Snoussi, Hichem"'
Autor:
Thomine, Simon, Snoussi, Hichem
Detecting surface anomalies of industrial materials poses a significant challenge within a myriad of industrial manufacturing processes. In recent times, various methodologies have emerged, capitalizing on the advantages of employing a network pre-tr
Externí odkaz:
http://arxiv.org/abs/2403.01859
Autor:
Thomine, Simon, Snoussi, Hichem
Unsupervised texture anomaly detection has been a concerning topic in a vast amount of industrial processes. Patterned textures inspection, particularly in the context of fabric defect detection, is indeed a widely encountered use case. This task inv
Externí odkaz:
http://arxiv.org/abs/2401.02287
Unsupervised anomaly in industry has been a concerning topic and a stepping stone for high performance industrial automation process. The vast majority of industry-oriented methods focus on learning from good samples to detect anomaly notwithstanding
Externí odkaz:
http://arxiv.org/abs/2306.10089
For a very long time, unsupervised learning for anomaly detection has been at the heart of image processing research and a stepping stone for high performance industrial automation process. With the emergence of CNN, several methods have been propose
Externí odkaz:
http://arxiv.org/abs/2306.09859
Autor:
Kan, Ge, Lü, Jinhu, Wang, Tian, Zhang, Baochang, Zhu, Aichun, Huang, Lei, Guo, Guodong, Snoussi, Hichem
Energy-based latent variable models (EBLVMs) are more expressive than conventional energy-based models. However, its potential on visual tasks are limited by its training process based on maximum likelihood estimate that requires sampling from two in
Externí odkaz:
http://arxiv.org/abs/2203.14702
Autor:
Pourreza, Masoud, Mohammadi, Bahram, Khaki, Mostafa, Bouindour, Samir, Snoussi, Hichem, Sabokrou, Mohammad
In this paper, we propose a novel method for irregularity detection. Previous researches solve this problem as a One-Class Classification (OCC) task where they train a reference model on all of the available samples. Then, they consider a test sample
Externí odkaz:
http://arxiv.org/abs/2006.11629
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:
Frontiers of Computer Science volume 16, Article number: 164317 (2022)
Temporal action recognition always depends on temporal action proposal generation to hypothesize actions and algorithms usually need to process very long video sequences and output the starting and ending times of each potential action in each video
Externí odkaz:
http://arxiv.org/abs/1906.06496
Publikováno v:
Engineering, 2019
It is challenging to detect the anomaly in crowded scenes for quite a long time. In this paper, a self-supervised framework, abnormal event detection network (AED-Net), which is composed of PCAnet and kernel principal component analysis (kPCA), is pr
Externí odkaz:
http://arxiv.org/abs/1903.11891
As an important research topic in computer vision, fine-grained classification which aims to recognition subordinate-level categories has attracted significant attention. We propose a novel region based ensemble learning network for fine-grained clas
Externí odkaz:
http://arxiv.org/abs/1902.03377