بعد أكاديمية كاوست
Abdullah graduated in computer science with honors from Shaqra University in June 2026. Before that, Abdullah won second place at the Volunteer Hackathon of the Ministry of Municipalities and Housing, completed a sustainable development summer program at the University of Liverpool, and earned the Certified Data Management Professional (CDMP) certification.
المشروع الصيفي
تخصص الذكاء الاصطناعي · دفعة 2024
Lightweight Model for Saliency Prediction
Salient object detection (SOD) focuses on identifying the most visually prominent parts of an image, typically those that stand out due to distinct colors. In our project, we present a straightforward SOD method that leverages color separation to enhance feature extraction. This technique reduces computational demands while maintaining high performance, making it ideal for resource-constrained devices. Despite the simplicity and lightweight nature of our model, we achieved results that surpass expectations.
مع أكاديمية كاوست
- دفعة 2024
جامعة الملك عبدالله للعلوم والتقنية (كاوست) · المدرسة الصيفية للذكاء الاصطناعي
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