![Sensors | Free Full-Text | Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm Sensors | Free Full-Text | Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm](https://pub.mdpi-res.com/sensors/sensors-20-01678/article_deploy/html/images/sensors-20-01678-g001.png?1602175761)
Sensors | Free Full-Text | Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
![PDF) Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images PDF) Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images](https://www.researchgate.net/publication/362703206/figure/fig1/AS:11431281079453881@1660705031087/The-YOLO-architecture_Q320.jpg)
PDF) Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images
![Buildings | Free Full-Text | Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images Buildings | Free Full-Text | Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images](https://pub.mdpi-res.com/buildings/buildings-12-01225/article_deploy/html/images/buildings-12-01225-g005.png?1660725489)
Buildings | Free Full-Text | Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images
![Multi-object trajectory extraction based on YOLOv3-DeepSort for pedestrian-vehicle interaction behavior analysis at non-signalized intersections | SpringerLink Multi-object trajectory extraction based on YOLOv3-DeepSort for pedestrian-vehicle interaction behavior analysis at non-signalized intersections | SpringerLink](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs11042-022-13805-z/MediaObjects/11042_2022_13805_Fig2_HTML.png)
Multi-object trajectory extraction based on YOLOv3-DeepSort for pedestrian-vehicle interaction behavior analysis at non-signalized intersections | SpringerLink
![Buildings | Free Full-Text | Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images Buildings | Free Full-Text | Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images](https://pub.mdpi-res.com/buildings/buildings-12-01225/article_deploy/html/images/buildings-12-01225-g014.png?1660725485)
Buildings | Free Full-Text | Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images
![Sensors | Free Full-Text | A Fast Learning Method for Accurate and Robust Lane Detection Using Two-Stage Feature Extraction with YOLO v3 Sensors | Free Full-Text | A Fast Learning Method for Accurate and Robust Lane Detection Using Two-Stage Feature Extraction with YOLO v3](https://www.mdpi.com/sensors/sensors-18-04308/article_deploy/html/images/sensors-18-04308-g001.png)
Sensors | Free Full-Text | A Fast Learning Method for Accurate and Robust Lane Detection Using Two-Stage Feature Extraction with YOLO v3
![Remote Sensing | Free Full-Text | YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images Remote Sensing | Free Full-Text | YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images](https://pub.mdpi-res.com/remotesensing/remotesensing-12-02501/article_deploy/html/images/remotesensing-12-02501-ag.png?1596598268)
Remote Sensing | Free Full-Text | YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images
![Electronics | Free Full-Text | Balanced-YOLOv3: Addressing the Imbalance Problem of Object Detection in PCB Assembly Scene Electronics | Free Full-Text | Balanced-YOLOv3: Addressing the Imbalance Problem of Object Detection in PCB Assembly Scene](https://pub.mdpi-res.com/electronics/electronics-11-01183/article_deploy/html/images/electronics-11-01183-ag.png?1649409076)
Electronics | Free Full-Text | Balanced-YOLOv3: Addressing the Imbalance Problem of Object Detection in PCB Assembly Scene
![Sustainability | Free Full-Text | Small Pests Detection in Field Crops Using Deep Learning Object Detection Sustainability | Free Full-Text | Small Pests Detection in Field Crops Using Deep Learning Object Detection](https://www.mdpi.com/sustainability/sustainability-15-06815/article_deploy/html/images/sustainability-15-06815-g001.png)
Sustainability | Free Full-Text | Small Pests Detection in Field Crops Using Deep Learning Object Detection
![Deep Learning based Object Detection Application for Fire Recognition in Video - Future Science Leaders Deep Learning based Object Detection Application for Fire Recognition in Video - Future Science Leaders](https://www.futurescienceleaders.com/wp-content/uploads/2020/05/Figure-7.jpg)
Deep Learning based Object Detection Application for Fire Recognition in Video - Future Science Leaders
![Electronics | Free Full-Text | Balanced-YOLOv3: Addressing the Imbalance Problem of Object Detection in PCB Assembly Scene Electronics | Free Full-Text | Balanced-YOLOv3: Addressing the Imbalance Problem of Object Detection in PCB Assembly Scene](https://pub.mdpi-res.com/electronics/electronics-11-01183/article_deploy/html/images/electronics-11-01183-g011a.png?1649409076)
Electronics | Free Full-Text | Balanced-YOLOv3: Addressing the Imbalance Problem of Object Detection in PCB Assembly Scene
![computer vision - What are the main differences between YOLOv3 and RetinaNet object detection algorithms? - Artificial Intelligence Stack Exchange computer vision - What are the main differences between YOLOv3 and RetinaNet object detection algorithms? - Artificial Intelligence Stack Exchange](https://i.stack.imgur.com/ul5zm.png)
computer vision - What are the main differences between YOLOv3 and RetinaNet object detection algorithms? - Artificial Intelligence Stack Exchange
![Applied Sciences | Free Full-Text | TF-YOLO: An Improved Incremental Network for Real-Time Object Detection Applied Sciences | Free Full-Text | TF-YOLO: An Improved Incremental Network for Real-Time Object Detection](https://www.mdpi.com/applsci/applsci-09-03225/article_deploy/html/images/applsci-09-03225-g001.png)
Applied Sciences | Free Full-Text | TF-YOLO: An Improved Incremental Network for Real-Time Object Detection
![Electronics | Free Full-Text | Balanced-YOLOv3: Addressing the Imbalance Problem of Object Detection in PCB Assembly Scene Electronics | Free Full-Text | Balanced-YOLOv3: Addressing the Imbalance Problem of Object Detection in PCB Assembly Scene](https://www.mdpi.com/electronics/electronics-11-01183/article_deploy/html/images/electronics-11-01183-g001.png)
Electronics | Free Full-Text | Balanced-YOLOv3: Addressing the Imbalance Problem of Object Detection in PCB Assembly Scene
![Buildings | Free Full-Text | Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images Buildings | Free Full-Text | Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images](https://pub.mdpi-res.com/buildings/buildings-12-01225/article_deploy/html/images/buildings-12-01225-g001.png?1660725496)
Buildings | Free Full-Text | Improved YOLOv3-Based Bridge Surface Defect Detection by Combining High- and Low-Resolution Feature Images
![Applied Sciences | Free Full-Text | TF-YOLO: An Improved Incremental Network for Real-Time Object Detection Applied Sciences | Free Full-Text | TF-YOLO: An Improved Incremental Network for Real-Time Object Detection](https://pub.mdpi-res.com/applsci/applsci-09-03225/article_deploy/html/images/applsci-09-03225-g007.png?1566875383)
Applied Sciences | Free Full-Text | TF-YOLO: An Improved Incremental Network for Real-Time Object Detection
![Multi-object trajectory extraction based on YOLOv3-DeepSort for pedestrian-vehicle interaction behavior analysis at non-signalized intersections | SpringerLink Multi-object trajectory extraction based on YOLOv3-DeepSort for pedestrian-vehicle interaction behavior analysis at non-signalized intersections | SpringerLink](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs11042-022-13805-z/MediaObjects/11042_2022_13805_Fig10_HTML.png)
Multi-object trajectory extraction based on YOLOv3-DeepSort for pedestrian-vehicle interaction behavior analysis at non-signalized intersections | SpringerLink
![A modified YOLOv3 detection method for vision-based water surface garbage capture robot - Xiali Li, Manjun Tian, Shihan Kong, Licheng Wu, Junzhi Yu, 2020 A modified YOLOv3 detection method for vision-based water surface garbage capture robot - Xiali Li, Manjun Tian, Shihan Kong, Licheng Wu, Junzhi Yu, 2020](https://journals.sagepub.com/cms/10.1177/1729881420932715/asset/images/large/10.1177_1729881420932715-fig3.jpeg)
A modified YOLOv3 detection method for vision-based water surface garbage capture robot - Xiali Li, Manjun Tian, Shihan Kong, Licheng Wu, Junzhi Yu, 2020
![Sensors | Free Full-Text | ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images Sensors | Free Full-Text | ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images](https://www.mdpi.com/sensors/sensors-19-02671/article_deploy/html/images/sensors-19-02671-g001.png)