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pro vyhledávání: '"Azarafza, Mehdi"'
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava
Autor:
Azarafza, Mehdi, Idrees, Fatima, Bejnordi, Ali Ehteshami, Steinmetz, Charles, Henkler, Stefan, Rettberg, Achim
Traffic Sign Recognition (TSR) detection is a crucial component of autonomous vehicles. While You Only Look Once (YOLO) is a popular real-time object detection algorithm, factors like training data quality and adverse weather conditions (e.g., heavy
Externí odkaz:
http://arxiv.org/abs/2410.05096
Large Language Models (LLMs) have garnered significant attention for their ability to understand text and images, generate human-like text, and perform complex reasoning tasks. However, their ability to generalize this advanced reasoning with a combi
Externí odkaz:
http://arxiv.org/abs/2402.13602
Autor:
Azarafza, Mohammad, Akgün, Haluk, Feizi-Derakhshi, Mohammad-Reza, Azarafza, Mehdi, Rahnamarad, Jafar, Derakhshani, Reza
Publikováno v:
In Heliyon May 2020 6(5)
Autor:
Azarafza, Mohammad1 (AUTHOR), Azarafza, Mehdi2 (AUTHOR), Akgün, Haluk3 (AUTHOR), Atkinson, Peter M.4 (AUTHOR), Derakhshani, Reza5,6 (AUTHOR) r.derakhshani@uu.nl
Publikováno v:
Scientific Reports. 12/16/2021, Vol. 11 Issue 1, p1-16. 16p.
Publikováno v:
Journal of Applied Science, Engineering, Technology, and Education. 3:1-6
The COVID-19 is outbreak from China and infected more than 131,652 people and caused 7,300 deaths in Iran. Unfortunately, the infection numbers and deaths are still increasing rapidly which has put the world on the catastrophic abyss edge. Applicatio
Akademický článek
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