Enhancing Fire Detection Performance Based on Fine-Tuned YOLOv10
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Abstract
In recent years, early detection and warning of fires have posed a significant challenge to environmental protection and human safety. Deep learning models such as Faster R-CNN (Faster Region based Convolutional Neural Networ... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Fire Detection and Safety Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (24)
Show source-provided references
1. Fire detection from images using Faster R-CNN and multidimensional texture analysis
2. Y. Guerbai and A. Saibi, “DeepFire: Enhanced fire detection using VGG16 convolutional neural networks,” TechRxiv, Nov. 20, 2023. doi: 10.36227/techrxiv.24548422.v1.10.36227/techrxiv.24548422.v1 ↗
3. Real time fire and smoke detection techniques using improved transfer learning algorithms
4. Ultralytics, “YOLOv10-Ultralytics YOLO documents,” May 25, 2024. Accessed: Oct. 16, 2024. [Online]. Available: https://docs.ultralytics.com/vi/models/yolov10/
5. YOLO-based models for smoke and wildfire detection in ground and aerial images10.3390/fire7040140 ↗
6. Advanced forest fire detection using YOLOv10: A deep learning approach
7. Real time fire detection using Faster R-CNN model
8. Faster R-CNN: Towards real-time object detection with region proposal networks10.1109/TPAMI.2016.2577031 ↗
9. Fireguard: Deep CNN video surveillance for efficient fire detection
10. Fire detection on video using the 3D CNN method
11. CNN-FD: Deep convolutional neural network model for fire detection
12. Effective and precise detection of hazardous fires from CCTV images using YOLOv7 algorithm in comparison with CNN
13. Factory fire detection using TRA-YOLO network
14. Research on fire detection based on the YOLOv9 algorithm
15. An improved fire and smoke detection method based on YOLOv8n for smart factories
16. Multi Users, “Roboflow universe projects,” Roboflow, Inc., Aug. 10, 2024. Accessed: Oct. 16, 2024. [Online]. Available: https://universe.roboflow.com/roboflow-universe-projects
17. D. T. Phu, “FIRE_INDOOR computer vision project,” distributed by BINBIN, Aug. 19, 2024. Accessed: Oct. 16, 2024. [Online]. Available: https://universe.roboflow.com/binbin-d1mvq/fire_indoor-3xzzi
18. CSPNet: A new backbone that can enhance learning capability of CNN
19. Squeeze-and-excitation networks
20. Long-short transformer: Efficient transformers for language and vision
21. On the convergence of adam and beyond
22. On the convergence of adam and beyond
23. Ultralytics, “Performance metrics deep dive,” 2024. Accessed: Oct. 16, 2024. [Online]. Available: https://docs.ultralytics.com/guides/yolo-performance-metrics/
24. A comprehensive review of object detection with deep learning10.1016/j.dsp.2022.103812 ↗