1 code implementation • 23 May 2017 • Ahmed Ibrahim, A. Lynn Abbott, Mohamed E. Hussein
This scheme is substantially different from "deep supervision" in which the loss layer is re-introduced to earlier layers.
no code implementations • 20 Oct 2016 • Ahmed Ibrahim, A. Lynn Abbott, Mohamed E. Hussein
Although much research has been devoted to text detection and recognition in scanned documents, relatively little attention has been given to text detection in other types of images, such as photographs that are posted on social-media sites.
no code implementations • 4 Aug 2021 • Ahmed Ibrahim, Ayman El-Refai, Sara Ahmed, Mariam Aboul-Ela, Hesham M. Eraqi, Mohamed Moustafa
The third method adopts late fusion by having two convectional input branches processing each of the dual-channel spectrograms and then the outputs are merged by the last layers.
no code implementations • 14 Feb 2022 • Ahmed Ibrahim, Rokaya Hassanien
Recent advances in computer architecture and networking opened the opportunity for parallelizing the clustering algorithms.
no code implementations • 25 Mar 2024 • Ahmed Soliman, Yousif Yousif, Ahmed Ibrahim, Yalda Zafari-Ghadim, Essam A. Rashed, Mohamed Mabrok
In this study, we selected four types of deep models that were recently proposed and evaluated their performance for stroke segmentation: a pure Transformer-based architecture (DAE-Former), two advanced CNN-based models (LKA and DLKA) with attention mechanisms in their design, an advanced hybrid model that incorporates CNNs with Transformers (FCT), and the well- known self-adaptive nnUNet framework with its configuration based on given data.