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 …

[HTML][HTML] Advanced Object Detection for Maritime Fire Safety

F Makhmudov, S Umirzakova, A Kutlimuratov… - Fire, 2024 - mdpi.com
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 …

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 …

Multi-level feature fusion networks for smoke recognition in remote sensing imagery

Y Wang, Y Wang, ZA Khan, A Huang, J Sang - Neural Networks, 2025 - Elsevier
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 …

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) …

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 …