YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities-Reference-Cited by-同舟云学术

YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities

Published:2023 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Rane Nitin

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference138 articles.

1. A optimized YOLO method for object detection;L Tianjiao;2020 16th International Conference on Computational Intelligence and Security (CIS),2020

2. Application of YOLO object detection network in weld surface defect detection;Y Zuo;2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER),2021

3. Comparative analysis on YOLO object detection with OpenCV;H Deshpande;International journal of research in industrial engineering,2020

4. Multimodal Variational Faster R-CNN for Improved Visual Object Detection in Manufacturing;P Mouzenidis;Proceedings of the IEEE/CVF International Conference on Computer Vision,2021

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