no code implementations • 24 Jul 2023 • Aya Mahmoud Ahmed, Mohamed Yousef, Khaled F. Hussain, Yousef Bassyouni Mahdy
As a result, we propose a cleaned version of the NYU-v2 dataset that is more consistent and informative.
no code implementations • 19 Mar 2022 • Mohamed Yousef, Marcel Ackermann, Unmesh Kurup, Tom Bishop
We propose novel architectural modifications to the self-supervised feature learning step, that enable such compact distributions for ID data to be learned.
Out of Distribution (OOD) Detection Self-Supervised Anomaly Detection +2
no code implementations • 29 Sep 2021 • Mohamed Yousef, Tom Bishop, Unmesh Kurup
We propose novel architectural modifications to the self-supervised feature learning step, that enable such compact ID distributions to be learned.
Out of Distribution (OOD) Detection Self-Supervised Anomaly Detection +3
8 code implementations • CVPR 2020 • Mohamed Yousef, Tom E. Bishop
On IAM we even surpass single line methods that use accurate localization information during training.
1 code implementation • 31 Dec 2018 • Mohamed Yousef, Khaled F. Hussain, Usama S. Mohammed
Unconstrained text recognition is an important computer vision task, featuring a wide variety of different sub-tasks, each with its own set of challenges.