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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Procedia computer science Ročník 199; s. 1066 - 1073
Hlavní autoři: Jiang, Peiyuan, Ergu, Daji, Liu, Fangyao, Cai, Ying, Ma, Bo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.01.2022
Témata:
Object Detection
Public Data Analysis
Review
Yolo
Object Detection
Yolo
Review
Public Data Analysis
ISSN:1877-0509, 1877-0509
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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