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Transformers in wildfire detection

Juanita Jidai Mamza1, Auwalu Saleh Mubarak2 and Fadi Al-Turjman1,    1Artificial Intelligence Engineering Department, Research Center for AI and IoT, AI and Robotics Institute, Near East University, Nicosia, Turkey,    2Research Center for AI and IoT, AI and Robotics Institute, University of Kyrenia, Nicosia, Turkey

Abstract

In computer vision theory, research, and practical application, object detection is still crucial. The main source of inspiration for conventional object detection methods was machine learning. Thus, in deep learning-based computer vision, convolutional neural networks (CNN) have become the de facto norm.

Recently, attention-based vision transformer architectures have appeared, outperforming ...

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