Fumes and Smoke Car Detection Using YOLOv8
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-52419-6_3
Reference27 articles.
1. Cao Y, Lu X (2019) Learning spatial-temporal representation for smoke vehicle detection. Multimed Tools Appl 78:27871–27889. https://doi.org/10.1007/s11042-019-07926-1
2. Chen J, Peng X (2023) DB-Net: detecting vehicle smoke with deep block networks. Appl Sci 13:4941. https://doi.org/10.3390/app13084941
3. Fan Q, Brown LM, Smith JR (2016) A closer look at Faster R-CNN for vehicle detection. https://doi.org/10.1109/ivs.2016.7535375
4. Filonenko A, Kurnianggoro L, Jo K-H (2017) Comparative study of modern convolutional neural networks for smoke detection on image data. https://doi.org/10.1109/hsi.2017.8004998
5. Frizzi S, Kaabi R, Bouchouicha M, Ginoux J-M, Moreau E, Fnaiech F (2016) Convolutional neural network for video fire and smoke detection. https://doi.org/10.1109/iecon.2016.7793196
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