SOTAVerified

Fire Detection

Detection of fire using multi-variate time series sensor data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 61 papers

TitleStatusHype
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment—0
Fire Detection From Image and Video Using YOLOv5—0
E^3-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles—0
Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite ImageryCode1
Improved Active Fire Detection using Operational U-Nets—0
FSDNet-An efficient fire detection network for complex scenarios based on YOLOv3 and DenseNet—0
To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs—0
Image-Based Fire Detection in Industrial Environments with YOLOv4—0
Development Of A Fire Detection System On Satellite Images—0
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color SegmentationCode0
Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios—0
Semantic Sensor Network Ontology based Decision Support System for Forest Fire Management—0
Unified smoke and fire detection in an evolutionary framework with self-supervised progressive data augment—0
Preliminary Wildfire Detection Using State-of-the-art PTZ (Pan, Tilt, Zoom) Camera Technology and Convolutional Neural Networks—0
Assessing the Impact of the Loss Function, Architecture and Image Type for Deep Learning-Based Wildfire SegmentationCode0
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire DetectionCode1
Machine Learning Based Early Fire Detection System using a Low-Cost Drone—0
Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning StudyCode1
Aerial Imagery Pile burn detection using Deep Learning: the FLAME datasetCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
A review of machine learning applications in wildfire science and management—0
Fully Convolutional Variational Autoencoder For Feature Extraction Of Fire Detection SystemCode0
Saliency Based Fire Detection Using Texture and Color Features—0
Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection—0
Unsupervised Segmentation of Fire and Smoke from Infra-Red Videos—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1rTPNNF1-Score0.93—Unverified
2LSTMF1-Score0.86—Unverified
3MLPF1-Score0.73—Unverified