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What is Intelligent Smoking Detection with YOLOv4 about?

The document presents an improved YOLOv4-based real-time smoking detection system aimed at enhancing detection accuracy in public spaces. It addresses the limitations of traditional smoke detection methods by utilizing k-means++ clustering for better anchor box adaptation and incorporating an attention mechanism for improved small-target detection. The study demonstrates that the proposed model outperforms existing one-stage algorithms in terms of accuracy and detection speed using a self-made dataset for t

Author

274193829

Language

EN