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YOLO-SF: YOLO for Fire Segmentation Detection

https://doi.org/10.1109/access.2023.3322143

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1 of the 45 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-21): 10.3233/jifs-211816 (notice 2024-08-23).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11227-021-03813-5openalex-snapshot

The improvement in obstacle detection in autonomous vehicles using YOLO non-maximum suppression fuzzy algorithm

inferredcites →https://doi.org/10.1016/j.heliyon.2022.e12375openalex-snapshot

Instance segmentation using semi-supervised learning for fire recognition

inferredcites →https://doi.org/10.1016/j.jksuci.2022.09.019openalex-snapshot

Multi-scale YOLACT for instance segmentation

inferredcites →https://doi.org/10.1016/j.patrec.2022.11.023openalex-snapshot

CNN‐Transformer for visual‐tactile fusion applied in road recognition of autonomous vehicles

inferredcites →https://doi.org/10.1049/ipr2.12425openalex-snapshot

An improved tongue image segmentation algorithm based on Deeplabv3+ framework

inferredcites →https://doi.org/10.1109/access.2020.2982433openalex-snapshot

Water Level Prediction Model Based on GRU and CNN

inferredcites →https://doi.org/10.1109/access.2021.3050628openalex-snapshot

ATT Squeeze U-Net: A Lightweight Network for Forest Fire Detection and Recognition

inferredcites →https://doi.org/10.1109/access.2021.3124831openalex-snapshot

Deep Learning-Based Instance Segmentation for Indoor Fire Load Recognition

inferredcites →https://doi.org/10.1109/conftele50222.2021.9435459openalex-snapshot

Fire Detection using Residual Deeplabv3+ Model

inferredcites →https://doi.org/10.1109/icip42928.2021.9506485openalex-snapshot

CFPNET: Channel-Wise Feature Pyramid For Real-Time Semantic Segmentation

inferredcites →https://doi.org/10.1109/iscipt53667.2021.00082openalex-snapshot

MobileAttentionNet: An Efficient Network for Semantic Segmentation of Forest Fire Images

inferredcites →https://doi.org/10.1109/mis.2019.2943850openalex-snapshot

Study on the Situational Awareness System of Mine Fire Rescue Using Faster Ross Girshick-Convolutional Neural Network

inferredcites →https://doi.org/10.1109/tii.2017.2768530openalex-snapshot

Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model

inferredcites →https://doi.org/10.1109/vrw58643.2023.00099openalex-snapshot

Fast flame recognition algorithm base on segmentation network

inferredcites →https://doi.org/10.1117/1.jei.28.3.033006openalex-snapshot

Smoke detection and trend prediction method based on Deeplabv3+ and generative adversarial network

inferredcites →https://doi.org/10.1117/12.2606118openalex-snapshot

Multitasking segmentation of lung and COVID-19 findings in CT scans using modified EfficientDet, UNet and MobileNetV3 models

inferredcites →https://doi.org/10.1117/12.2618343openalex-snapshot

Squeeze-and-excitation blocks embedded YOLO model for fast target detection under poor imaging conditions

inferredcites →https://doi.org/10.1142/s0218001422500434openalex-snapshot

YOLO-F: YOLO for Flame Detection

inferredcites →https://doi.org/10.1177/1748302619887689openalex-snapshot

Forest fire image recognition based on convolutional neural network

inferredcites →https://doi.org/10.1186/s12911-023-02129-zopenalex-snapshot

Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution

inferredcites →https://doi.org/10.18280/ts.380336openalex-snapshot

Extraction and Classification of Image Features for Fire Recognition Based on Convolutional Neural Network

inferredcites →https://doi.org/10.3233/jifs-211816openalex-snapshot

RETRACTED: A new intelligent fire color space approach for forest fire detection

inferredcites →https://doi.org/10.3390/app11167624openalex-snapshot

A Bayesian Network-Based Information Fusion Combined with DNNs for Robust Video Fire Detection

inferredcites →https://doi.org/10.3390/app122412876openalex-snapshot

Laboratory Flame Smoke Detection Based on an Improved YOLOX Algorithm

inferredcites →https://doi.org/10.3390/brainsci12020260openalex-snapshot

A Macaque Brain Extraction Model Based on U-Net Combined with Residual Structure

inferredcites →https://doi.org/10.3390/brainsci12121633openalex-snapshot

A Mixed Visual Encoding Model Based on the Larger-Scale Receptive Field for Human Brain Activity

inferredcites →https://doi.org/10.3390/electronics11172718openalex-snapshot

Multi-Scale Semantic Segmentation for Fire Smoke Image Based on Global Information and U-Net

inferredcites →https://doi.org/10.3390/electronics11193140openalex-snapshot

An Image Fusion Method Based on Special Residual Network and Efficient Channel Attention

inferredcites →https://doi.org/10.3390/f13081332openalex-snapshot

A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement

inferredcites →https://doi.org/10.3390/jmse10111783openalex-snapshot

Multi-Scale Object Detection Model for Autonomous Ship Navigation in Maritime Environment

inferredcites →https://doi.org/10.3390/machines10080668openalex-snapshot

Online Multiple Object Tracking Using Spatial Pyramid Pooling Hashing and Image Retrieval for Autonomous Driving

inferredcites →https://doi.org/10.3390/machines11020246openalex-snapshot

Early Wildfire Smoke Detection Using Different YOLO Models

inferredcites →https://doi.org/10.3390/met12111809openalex-snapshot

An Effective Surface Defect Classification Method Based on RepVGG with CBAM Attention Mechanism (RepVGG-CBAM) for Aluminum Profiles

inferredcites →https://doi.org/10.3390/rs14010045openalex-snapshot

Semantic Segmentation and Analysis on Sensitive Parameters of Forest Fire Smoke Using Smoke-Unet and Landsat-8 Imagery

inferredcites →https://doi.org/10.3390/rs14112701openalex-snapshot

Real-Time Integration of Segmentation Techniques for Reduction of False Positive Rates in Fire Plume Detection Systems during Forest Fires

inferredcites →https://doi.org/10.3390/rs14133159openalex-snapshot

Forest Fire Segmentation from Aerial Imagery Data Using an Improved Instance Segmentation Model

inferredcites →https://doi.org/10.3390/s20174850openalex-snapshot

A Multiscale Recognition Method for the Optimization of Traffic Signs Using GMM and Category Quality Focal Loss

inferredcites →https://doi.org/10.3390/s22197420openalex-snapshot

Ship Fire Detection Based on an Improved YOLO Algorithm with a Lightweight Convolutional Neural Network Model

inferredcites →https://doi.org/10.3390/su15021233openalex-snapshot

Plant Disease Classification and Adversarial Attack Using SimAM-EfficientNet and GP-MI-FGSM

inferredcites →https://doi.org/10.3390/su15031794openalex-snapshot

Real-Time Early Indoor Fire Detection and Localization on Embedded Platforms with Fully Convolutional One-Stage Object Detection

inferredcites →https://doi.org/10.34028/iajit/17/6/13openalex-snapshot

Computer Vision-based Early Fire Detection Using Enhanced Chromatic Segmentation and Optical Flow Analysis Technique

inferredcites →https://doi.org/10.48550/arxiv.2105.04206openalex-snapshot

You Only Learn One Representation: Unified Network for Multiple Tasks

inferredcites →https://doi.org/10.48550/arxiv.2204.12511openalex-snapshot

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions

inferredcites →https://doi.org/10.48550/arxiv.2206.02680openalex-snapshot

Separable Self-attention for Mobile Vision Transformers

inferredcites →https://doi.org/10.48550/arxiv.2211.15444openalex-snapshot

DAMO-YOLO : A Report on Real-Time Object Detection Design

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4827440openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-3-032-28672-7_4openalex-snapshot

Lightweight Deep Learning Models for Hazard Detection

inferred← citeshttps://doi.org/10.1007/978-981-95-1941-5_30openalex-snapshot

Wildfire Segmentation Method Based on Improved Lightweight Yolov9 Network with Multi-scale Fusion

inferred← citeshttps://doi.org/10.1007/978-981-97-8858-3_25openalex-snapshot

A Faster Fire Detection Network with Global Information Awareness

inferred← citeshttps://doi.org/10.1007/s10694-024-01635-4openalex-snapshot

Industrial and Mining Fire Detection Algorithm Based on Improved YOLO

inferred← citeshttps://doi.org/10.1007/s10694-024-01698-3openalex-snapshot

A Real-Time Flame Detection and Situation Assessment Algorithm for Firefighting Robots

inferred← citeshttps://doi.org/10.1007/s10694-025-01778-yopenalex-snapshot

Automated Fire Detection for Industrial Settings with Pretrained Convolutional Networks

inferred← citeshttps://doi.org/10.1007/s44443-025-00116-0openalex-snapshot

MSD-YOLO11n: an improved small target detection model for high precision UAV aerial imagery

inferred← citeshttps://doi.org/10.1007/s44443-026-00571-3openalex-snapshot

CMF-Net: a lightweight multi-scale feature fusion network for early small fire detection in coal mines

inferred← citeshttps://doi.org/10.1016/j.aei.2026.104671openalex-snapshot

BoXFire: Geometry-aware box-supervised fusion for accurate fire and smoke segmentation

inferred← citeshttps://doi.org/10.1016/j.compag.2025.110052openalex-snapshot

PP-YOLO: Deep learning based detection model to detect apple and cherry trees in orchard based on Histogram and Wavelet preprocessing techniques

inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104261openalex-snapshot

UAV-based person re-identification: A survey of UAV datasets, approaches, and challenges

inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104824openalex-snapshot

EMG-YOLO: An efficient fire detection model for embedded devices

inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105320openalex-snapshot

YOLO-SAD for fire detection and localization in real-world images

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111521openalex-snapshot

Optimizing deep learning-driven computer vision for civil infrastructure defect Identification: Challenges and strategies

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113310openalex-snapshot

Real-time quantitative analysis of wildfire fireline merging behavior based on segmentation-skeletonization algorithm

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114891openalex-snapshot

Credible early fire detection via intelligent pan–tilt-zoom camera

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126852openalex-snapshot

FireSeg: A weakly supervised fire segmentation framework via pre-trained latent diffusion models

inferred← citeshttps://doi.org/10.1016/j.fuel.2024.132899openalex-snapshot

Recognition of dispersed organic matter macerals using YOLOv5m model with convolutional block attention module

inferred← citeshttps://doi.org/10.1016/j.imavis.2024.105057openalex-snapshot

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.12.025openalex-snapshot

Intelligent segmentation of wildfire region and interpretation of fire front in visible light images from the viewpoint of an unmanned aerial vehicle (UAV)

inferred← citeshttps://doi.org/10.1016/j.jobe.2024.108686openalex-snapshot

Field detection of indoor fire threat situation based on LSTM-Kriging network

inferred← citeshttps://doi.org/10.1016/j.oceaneng.2025.123989openalex-snapshot

A review of ship fire detection technologies in maritime transportation

inferred← citeshttps://doi.org/10.1016/j.patrec.2026.04.024openalex-snapshot

RoboFireFuseNet: Robust fusion of visible and infrared wildfire imaging for real-time flame and smoke segmentation

inferred← citeshttps://doi.org/10.1016/j.robot.2025.105147openalex-snapshot

Real-time flame detection and localization for firefighting robots

inferred← citeshttps://doi.org/10.1016/j.srs.2024.100167openalex-snapshot

Using computer vision to classify, locate and segment fire behavior in UAS-captured images

inferred← citeshttps://doi.org/10.1017/s0263574725102580openalex-snapshot

Fire SLAM: a visual Simultaneous Localization and Mapping algorithm for firefighting robots

inferred← citeshttps://doi.org/10.1038/s41598-024-55232-0openalex-snapshot

YOLOFM: an improved fire and smoke object detection algorithm based on YOLOv5n

inferred← citeshttps://doi.org/10.1038/s41598-025-25306-8openalex-snapshot

Enhanced YOLOv7 with CDP-ELAN and gather-distribute mechanism for robust smoke and flame detection

inferred← citeshttps://doi.org/10.1038/s41598-025-95162-zopenalex-snapshot

An efficient fire detection algorithm based on Mamba space state linear attention

inferred← citeshttps://doi.org/10.1038/s41598-025-98086-wopenalex-snapshot

Research and application of deep learning object detection methods for forest fire smoke recognition

inferred← citeshttps://doi.org/10.1063/5.0300265openalex-snapshot

LFNet: An end-to-end lightweight model for real-time fire detection in embedded firefighting systems

inferred← citeshttps://doi.org/10.1088/2631-8695/adb2ddopenalex-snapshot

Flame recognition and location algorithm based on YOLO v5s and binocular vision

inferred← citeshttps://doi.org/10.1109/access.2025.3534782openalex-snapshot

YOLOV9-CBM: An Improved Fire Detection Algorithm Based on YOLOV9

inferred← citeshttps://doi.org/10.1109/access.2025.3560393openalex-snapshot

GSF-YOLOv8: A Novel Approach for Fire Detection Using Gather-Distribute Mechanism and SimAM Attention

inferred← citeshttps://doi.org/10.1109/access.2025.3566907openalex-snapshot

YOLO-HF: Early Detection of Home Fires Using YOLO

inferred← citeshttps://doi.org/10.1109/aibthings66987.2025.11296218openalex-snapshot

A Literature Review on Deep Learning for Environmental Monitoring and Conservation

inferred← citeshttps://doi.org/10.1109/ainit65432.2025.11035320openalex-snapshot

Research on Fire and Smoke Detection Technology in Oil and Gas Stations Based on YOLOv10

inferred← citeshttps://doi.org/10.1109/bigdatasecurity66063.2025.00009openalex-snapshot

Fire Detection System Based On YOLOv5

inferred← citeshttps://doi.org/10.1109/iatmsi68868.2026.11465300openalex-snapshot

IoT-Integrated Wildfire Detection and Mitigation with Hierarchical Dispatch of Virtual Power Plants for Grid Resilience

inferred← citeshttps://doi.org/10.1109/iccasit62299.2024.10827997openalex-snapshot

An Improved YOLOv5-Based Method for Crane Operator Absence Detection

inferred← citeshttps://doi.org/10.1109/icdsaai65575.2025.11011687openalex-snapshot

Advanced AI Framework for Fire and Smoke Detection Integrating YOLOv8 Object Detection and XGBoost Classification

inferred← citeshttps://doi.org/10.1109/iceaai68945.2026.11442558openalex-snapshot

Advanced Fire and Smoke Detection System Using Enhanced YOLOv12 Architecture

inferred← citeshttps://doi.org/10.1109/iceace67491.2025.11439177openalex-snapshot

Pgda-Yolo: a Lightweight Forest Fire Detection Algorithm Based on Improved Yolov8

inferred← citeshttps://doi.org/10.1109/iceeps62542.2024.10693017openalex-snapshot

An Improved YOLOv5 Based Smoke Detection Algorithm for Power Room

inferred← citeshttps://doi.org/10.1109/iceeps62542.2024.10693109openalex-snapshot

Flame and Smoke Detection Algorithm of Power Room Based on YOLOX

inferred← citeshttps://doi.org/10.1109/iciteics61368.2024.10624874openalex-snapshot

Explainable AI and YOLOv8-based Framework for Indoor Fire and Smoke Detection

inferred← citeshttps://doi.org/10.1109/icmtim65484.2025.11040962openalex-snapshot

Lightweight Fire Detection Network Based on Improved YOLOv8

inferred← citeshttps://doi.org/10.1109/icnwc60771.2024.10537565openalex-snapshot

Fire and Smoke Detection Using Deep Learning

inferred← citeshttps://doi.org/10.1109/ict-dm62768.2024.10798951openalex-snapshot

Forest Fire Segmentation Metrics and Algorithms

inferred← citeshttps://doi.org/10.1109/ictis68762.2025.11214965openalex-snapshot

Fire Detection in Marine Cargo Holds for New Energy Vehicles Based on Improved YOLOv8

inferred← citeshttps://doi.org/10.1109/jsen.2024.3416548openalex-snapshot

YOLO-ULNet: Ultralightweight Network for Real-Time Detection of Forest Fire on Embedded Sensing Devices

inferred← citeshttps://doi.org/10.1109/weconf69969.2026.11553700openalex-snapshot

A Real-Time Fire Detection System in Automobile Tunnels Based on the YOLO Architecture

inferred← citeshttps://doi.org/10.1177/14759217251365856openalex-snapshot

Trinity forces and reactions shaping vision-based smart structural health monitoring

inferred← citeshttps://doi.org/10.1186/s13007-025-01451-zopenalex-snapshot

A stomata imaging and segmentation pipeline incorporating generative AI to reduce dependency on manual groundtruthing

inferred← citeshttps://doi.org/10.1371/journal.pone.0329555openalex-snapshot

FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices

inferred← citeshttps://doi.org/10.21203/rs.3.rs-7187132/v1openalex-snapshot

OG-HFYOLO: Orientation Gradient guidance and Heterogeneous feature fusion for deformation table cell instance segmentation

inferred← citeshttps://doi.org/10.22214/ijraset.2024.60063openalex-snapshot

Integrated Fire Detection System using ML and IOT

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Integrated Fire Detection System using ML and IOT

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A fire detection system based on one-chip computer

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inferred← citeshttps://doi.org/10.3389/fenvs.2024.1486212openalex-snapshot

YOLOGX: an improved forest fire detection algorithm based on YOLOv8

inferred← citeshttps://doi.org/10.3390/agronomy14081808openalex-snapshot

Instance Segmentation of Lentinus edodes Images Based on YOLOv5seg-BotNet

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inferred← citeshttps://doi.org/10.3390/app16031261openalex-snapshot

YOLO-GSD-seg: YOLO for Guide Rail Surface Defect Segmentation and Detection

inferred← citeshttps://doi.org/10.3390/drones8040142openalex-snapshot

Superpixel-Based Graph Convolutional Network for UAV Forest Fire Image Segmentation

inferred← citeshttps://doi.org/10.3390/electronics12234795openalex-snapshot

Semantic Segmentation Network Slimming and Edge Deployment for Real-Time Forest Fire or Flood Monitoring Systems Using Unmanned Aerial Vehicles

inferred← citeshttps://doi.org/10.3390/electronics13132579openalex-snapshot

Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey

inferred← citeshttps://doi.org/10.3390/electronics15194554openalex-snapshot

A Lightweight Asymmetric RGB–Thermal Multi-Scale Detection Network for UAV Forest Fire Monitoring

inferred← citeshttps://doi.org/10.3390/f15101823openalex-snapshot

FGYOLO: An Integrated Feature Enhancement Lightweight Unmanned Aerial Vehicle Forest Fire Detection Framework Based on YOLOv8n

inferred← citeshttps://doi.org/10.3390/fire8020066openalex-snapshot

Evaluating Segmentation-Based Deep Learning Models for Real-Time Electric Vehicle Fire Detection

inferred← citeshttps://doi.org/10.3390/fire8030104openalex-snapshot

Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes

inferred← citeshttps://doi.org/10.3390/fire8050180openalex-snapshot

Optimized Faster R-CNN with Swintransformer for Robust Multi-Class Wildfire Detection

inferred← citeshttps://doi.org/10.3390/info16070620openalex-snapshot

YOLO-MFD: Object Detection for Multi-Scenario Fires

inferred← citeshttps://doi.org/10.3390/insects17080822openalex-snapshot

Lightweight Visual Detection Framework for Accurate Pepper Pest Detection Under Complex Field Conditions

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FireNet: A Lightweight and Efficient Multi-Scenario Fire Object Detector

inferred← citeshttps://doi.org/10.3390/s25196008openalex-snapshot

MS-YOLOv11: A Wavelet-Enhanced Multi-Scale Network for Small Object Detection in Remote Sensing Images

inferred← citeshttps://doi.org/10.3390/su18115512openalex-snapshot

Deep Learning-Based Fire Hotspot Detection Using HY-1E COCTS2 Data in the Three-North Region of China

inferred← citeshttps://doi.org/10.36227/techrxiv.170473723.30823862/v1openalex-snapshot

Unsupervised Learning Methods for Human Abnormal Behavior Detection in Surveillance Systems; A Survey

inferred← citeshttps://doi.org/10.3724/bnsfc-2025-0030openalex-snapshot

The Monitoring Technology System of Natural Disaster

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