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GC-YOLOv3: You Only Look Once with Global Context Block

https://doi.org/10.3390/electronics9081235

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot

SSD: Single Shot MultiBox Detector

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot

Rapid object detection using a boosted cascade of simple features

inferredcites →https://doi.org/10.1109/cvpr.2005.45openalex-snapshot

A SIFT Descriptor with Global Context

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot

You Only Look Once: Unified, Real-Time Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot

Feature Pyramid Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot

Densely Connected Convolutional Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot

YOLO9000: Better, Faster, Stronger

inferredcites →https://doi.org/10.1109/cvpr.2018.00813openalex-snapshot

Non-local Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00913openalex-snapshot

Path Aggregation Network for Instance Segmentation

inferredcites →https://doi.org/10.1109/cvprw50498.2020.00203openalex-snapshot

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

inferredcites →https://doi.org/10.1109/iccv.2009.5459207openalex-snapshot

An HOG-LBP human detector with partial occlusion handling

inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot

Fast R-CNN

inferredcites →https://doi.org/10.1109/iccv.2015.357openalex-snapshot

Visual Tracking with Fully Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2017.212openalex-snapshot

DSOD: Learning Deeply Supervised Object Detectors from Scratch

inferredcites →https://doi.org/10.1109/iccv.2017.593openalex-snapshot

Soft-NMS — Improving Object Detection with One Line of Code

inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

inferredcites →https://doi.org/10.1109/iccv.2019.00140openalex-snapshot

Searching for MobileNetV3

inferredcites →https://doi.org/10.1109/iccv.2019.00612openalex-snapshot

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/wacv.2016.7477574openalex-snapshot

Dynamic belief fusion for object detection

inferredcites →https://doi.org/10.48550/arxiv.1605.06409openalex-snapshot

R-FCN: Object Detection via Region-based Fully Convolutional Networks

inferredcites →https://doi.org/10.48550/arxiv.1701.06659openalex-snapshot

DSSD : Deconvolutional Single Shot Detector

inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot

Attention Is All You Need

inferredcites →https://doi.org/10.48550/arxiv.1804.02767openalex-snapshot

YOLOv3: An Incremental Improvement

inferredcites →https://doi.org/10.48550/arxiv.2004.10934openalex-snapshot

YOLOv4: Optimal Speed and Accuracy of Object Detection

What points at this work

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

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Application of Deep Learning to Improve the Performance of Automotive Electronic Control Unit (ECU)

inferred← citeshttps://doi.org/10.1007/s10346-021-01694-6openalex-snapshot

A small attentional YOLO model for landslide detection from satellite remote sensing images

inferred← citeshttps://doi.org/10.1007/s11760-024-03378-9openalex-snapshot

SCA-YOLOv4: you only look once with squeeze-and-excitation, coordinate attention and adaptively spatial feature fusion

inferred← citeshttps://doi.org/10.1007/s41870-022-01062-0openalex-snapshot

Automatic tracking of objects using improvised Yolov3 algorithm and alarm human activities in case of anomalies

inferred← citeshttps://doi.org/10.1016/j.aap.2023.107341openalex-snapshot

Before-after safety evaluation of part-time protected right-turn signals: An extreme value theory approach by applying artificial intelligence-based video analytics

inferred← citeshttps://doi.org/10.1016/j.aap.2025.108073openalex-snapshot

Opposing-through crash risk forecasting using artificial intelligence-based video analytics for real-time application: integrating generalized extreme value theory and time series forecasting models

inferred← citeshttps://doi.org/10.1016/j.amar.2024.100331openalex-snapshot

Estimating crash risk and injury severity considering multiple traffic conflict and crash types: A bivariate extreme value approach

inferred← citeshttps://doi.org/10.1016/j.amar.2024.100353openalex-snapshot

Effects of sample size on pedestrian crash risk estimation from traffic conflicts using extreme value models

inferred← citeshttps://doi.org/10.1016/j.commtr.2025.100224openalex-snapshot

Machine learning-based real-time crash risk forecasting for pedestrians

inferred← citeshttps://doi.org/10.1016/j.compag.2023.108425openalex-snapshot

A survey of deep learning-based object detection methods in crop counting

inferred← citeshttps://doi.org/10.1016/j.media.2022.102456openalex-snapshot

Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis

inferred← citeshttps://doi.org/10.1016/j.trc.2024.104509openalex-snapshot

A bivariate, non-stationary extreme value model for estimating opposing-through crash frequency by severity by applying artificial intelligence-based video analytics

inferred← citeshttps://doi.org/10.1109/ctisc52352.2021.00066openalex-snapshot

An improved helmet detection method for YOLOv3 on an unbalanced dataset

inferred← citeshttps://doi.org/10.1109/icsgea53208.2021.00064openalex-snapshot

Thermal Imaging Face Detection Based on Transfer Learning

inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534343openalex-snapshot

SeMo-YOLO: A Multiscale Object Detection Network in Satellite Remote Sensing Images

inferred← citeshttps://doi.org/10.1109/naecon58068.2023.10365957openalex-snapshot

Object Detection Using Vision Transformed EfficientDet

inferred← citeshttps://doi.org/10.1109/nkcon56289.2022.10126698openalex-snapshot

Deep Neural Network Based Anomaly Detection For Smart Surveillance System

inferred← citeshttps://doi.org/10.1109/tim.2023.3346539openalex-snapshot

PMSLM Eccentricity Fault Diagnosis Based on Deep Feature Fusion of Stray Magnetic Field Signals

inferred← citeshttps://doi.org/10.1155/2021/7258649openalex-snapshot

EAWNet: An Edge Attention‐Wise Objector for Real‐Time Visual Internet of Things

inferred← citeshttps://doi.org/10.1155/2022/3627246openalex-snapshot

Vehicle License Plate Recognition Using Shufflenetv2 Dilated Convolution for Intelligent Transportation Applications in Urban Internet of Things

inferred← citeshttps://doi.org/10.1155/2022/8955292openalex-snapshot

Fast Detection of Defective Insulator Based on Improved YOLOv5s

inferred← citeshttps://doi.org/10.28991/esj-2021-sper-14openalex-snapshot

Real-Time Monitoring of COVID-19 SOP in Public Gathering Using Deep Learning Technique

inferred← citeshttps://doi.org/10.30871/jaee.v6i2.4452openalex-snapshot

Prototipe Deteksi Ketersediaan Slot Parkir Berbasis Pengolahan Citra

inferred← citeshttps://doi.org/10.3390/a17030109openalex-snapshot

Application of Split Coordinate Channel Attention Embedding U2Net in Salient Object Detection

inferred← citeshttps://doi.org/10.3390/app11052177openalex-snapshot

You Only Look Once, But Compute Twice: Service Function Chaining for Low-Latency Object Detection in Softwarized Networks

inferred← citeshttps://doi.org/10.3390/app12157847openalex-snapshot

IFD: An Intelligent Fast Detection for Real-Time Image Information in Industrial IoT

inferred← citeshttps://doi.org/10.3390/electronics10040471openalex-snapshot

A Survey on Deep Learning Based Approaches for Scene Understanding in Autonomous Driving

inferred← citeshttps://doi.org/10.3390/electronics10040480openalex-snapshot

An Efficient and Accurate Depth-Wise Separable Convolutional Neural Network for Cybersecurity Vulnerability Assessment Based on CAPTCHA Breaking

inferred← citeshttps://doi.org/10.3390/electronics10070837openalex-snapshot

Real-Time Face Mask Detection Method Based on YOLOv3

inferred← citeshttps://doi.org/10.3390/electronics10151798openalex-snapshot

Securing IoT Devices: A Robust and Efficient Deep Learning with a Mixed Batch Adversarial Generation Process for CAPTCHA Security Verification

inferred← citeshttps://doi.org/10.3390/healthcare10122396openalex-snapshot

An Optimization-Based Technology Applied for Face Skin Symptom Detection

inferred← citeshttps://doi.org/10.3390/jimaging8030070openalex-snapshot

A Novel Deep-Learning-Based Framework for the Classification of Cardiac Arrhythmia

inferred← citeshttps://doi.org/10.3390/rs14215545openalex-snapshot

Individual Tree Detection in Coal Mine Afforestation Area Based on Improved Faster RCNN in UAV RGB Images

inferred← citeshttps://doi.org/10.3390/rs15092429openalex-snapshot

A Lightweight Object Detection Algorithm for Remote Sensing Images Based on Attention Mechanism and YOLOv5s

inferred← citeshttps://doi.org/10.3390/rs16173146openalex-snapshot

MSPV3D: Multi-Scale Point-Voxels 3D Object Detection Net

inferred← citeshttps://doi.org/10.3390/s21041464openalex-snapshot

A Runway Safety System Based on Vertically Oriented Stereovision

inferred← citeshttps://doi.org/10.3390/s21217267openalex-snapshot

Pedestrian and Vehicle Detection in Autonomous Vehicle Perception Systems—A Review

inferred← citeshttps://doi.org/10.47668/edusaintek.v10i1.651openalex-snapshot

DETEKSI HELMET DAN VEST KESELAMATAN SECARA REALTIME MENGGUNAKAN METODE YOLO BERBASIS WEB FLASK

inferred← citeshttps://doi.org/10.54105/ijainn.f1072.103623openalex-snapshot

Investigation of an Autonomous Vehicle's using Artificial Neural Network (ANN)

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