CN2VF-Net: A Hybrid Convolutional Neural Network and Vision Transformer Framework for Multi-Scale Fire Detection in Complex Environments

CN2VF-Net: A Hybrid Convolutional Neural Network and Vision Transformer Framework for Multi-Scale Fire Detection in Complex Environments

Fire detection remains a challenging task due to varying fire scales, occlusions, and complex environmental conditions. This paper proposes the CN2VF-Net model, a novel hybrid architecture that combines vision Transformers (ViTs) and convolutional neural networks (CNNs), effectively addressing these...

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Bibliographic Details
Main Authors: Naveed Ahmad, Mariam Akbar, Eman H. Alkhammash, Mona M. Jamjoom
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Fire
Subjects:
convolutional neural networks (CNNs)
vision Transformers (ViTs)
D-Fire
Grad-CAM
multi-scale
attention mechanism
Online Access:https://www.mdpi.com/2571-6255/8/6/211
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