A Review of Yolo Algorithm Developments

2022/01/01 by Peiyuan Jiang, Daji Ergu, Fangyao Liu +2 · 30 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Video Surveillance and Tracking Methods

paper · doi:10.1016/j.procs.2022.01.135

openalex publication_date 2022/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Abstract

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.

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