YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO
Author:
Affiliation:
1. Department of Computer Science, University of Huddersfield, Huddersfield, U.K.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10473783.pdf?arnumber=10473783
Reference99 articles.
1. Custom Lightweight Convolutional Neural Network Architecture for Automated Detection of Damaged Pallet Racking in Warehousing & Distribution Centers
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3. CNN-based fabric defect detection system on loom fabric inspection
4. Domain Modelling For A Lightweight Convolutional Network Focused On Automated Exudate Detection in Retinal Fundus Images
5. A Layer-Wise Surface Deformation Defect Detection by Convolutional Neural Networks in Laser Powder-Bed Fusion Images
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