RFWNet: A multi-scale remote sensing forest wildfire detection network with digital twinning, adaptive spatial aggregation, and dynamic sparse features
G Wang, H Li, S Ye, H Zhao, H Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Real-time detection of forest fires through remote sensing is a challenging task, especially in
the context of limited data availability. In response to this challenge, this article leverages the …
the context of limited data availability. In response to this challenge, this article leverages the …
[HTML][HTML] Advanced Object Detection for Maritime Fire Safety
In this study, we propose an advanced object detection model for fire and smoke detection in
maritime environments, leveraging the DETR (Detection with Transformers) framework. To …
maritime environments, leveraging the DETR (Detection with Transformers) framework. To …
Universal Frequency Domain Perturbation for Single-Source Domain Generalization
C Liu, Y Cao, X Su, H Zhu - Proceedings of the 32nd ACM International …, 2024 - dl.acm.org
In this work, we introduce a novel approach to single-source domain generalization (SDG) in
medical imaging, focusing on overcoming the challenge of style variation in out-of …
medical imaging, focusing on overcoming the challenge of style variation in out-of …
Multi-level feature fusion networks for smoke recognition in remote sensing imagery
Smoke is a critical indicator of forest fires, often detectable before flames ignite. Accurate
smoke identification in remote sensing images is vital for effective forest fire monitoring …
smoke identification in remote sensing images is vital for effective forest fire monitoring …
YOLOV9-CBM: An improved fire detection algorithm based on YOLOV9
X Geng, X Han, X Cao, Y Su, D Shu - IEEE Access, 2025 - ieeexplore.ieee.org
Regarding the current problems of false alarms and missed detections in fire detection, we
propose a high-precision fire detection algorithm, YOLOV9-CBM (C3-SE, BiFPN, MPDIoU) …
propose a high-precision fire detection algorithm, YOLOV9-CBM (C3-SE, BiFPN, MPDIoU) …
Improving YOLOv5s Algorithm for Detecting Flame and Smoke
L Deng, J Zhou, Q Liu - IEEE Access, 2024 - ieeexplore.ieee.org
Object detection methods can be used to detect flames and smoke from images or videos for
the identification and exploration of fire. In this paper, an improved YOLOv5s algorithm …
the identification and exploration of fire. In this paper, an improved YOLOv5s algorithm …