Tackling Small Data Challenges in Visual Fire Detection: A Deep Convolutional Generative Adversarial Network Approach

Tackling Small Data Challenges in Visual Fire Detection: A Deep Convolutional Generative Adversarial Network Approach

Fire detection technologies remain a critical component of building automation. With the recent significant advances in computer vision, visual fire detection methods have been developed and integrated into building surveillance systems. Overfitting and accuracy challenges remain in fire detection w...

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Bibliographic Details
Main Authors:	Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Series:	IEEE Access
Subjects:	Deep convolutional generative adversarial network self-supervised learning visual fire detection
Online Access:	https://ieeexplore.ieee.org/document/9309261/

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