A Review of Yolo Algorithm Developments

Object detection techniques are the foundation for the artificial intelligence field. This research paper gives a brief overview of the You Only Look Once (YOLO) algorithm and its subsequent advanced versions. Through the analysis, we reach many remarks and insightful results. The results show the d...

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Bibliographic Details
Published in:Procedia computer science Vol. 199; pp. 1066 - 1073
Main Authors: Jiang, Peiyuan, Ergu, Daji, Liu, Fangyao, Cai, Ying, Ma, Bo
Format: Journal Article
Language:English
Published: Elsevier B.V 01.01.2022
Subjects:
Object Detection
Public Data Analysis
Review
Yolo
Object Detection
Yolo
Review
Public Data Analysis
ISSN:1877-0509, 1877-0509
Online Access:Get full text
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Description
Summary:Object detection techniques are the foundation for the artificial intelligence field. This research paper gives a brief overview of the You Only Look Once (YOLO) algorithm and its subsequent advanced versions. Through the analysis, we reach many remarks and insightful results. The results show the differences and similarities among the YOLO versions and between YOLO and Convolutional Neural Networks (CNNs). The central insight is the YOLO algorithm improvement is still ongoing.This article briefly describes the development process of the YOLO algorithm, summarizes the methods of target recognition and feature selection, and provides literature support for the targeted picture news and feature extraction in the financial and other fields. Besides, this paper contributes a lot to YOLO and other object detection literature.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2022.01.135