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A Review of Yolo Algorithm Developments

📅 January 1, 2022 👤 Peiyuan Jiang, Daji Ergu, Fangyao Liu et al. 📖 Procedia Computer Science 📊 2,562 citations

🤖 Plain-English Summary

Object detection techniques are the foundation for the artificial intelligence field. 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.

🔑 Key Findings

  • 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).

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jan 01, 2022
Journal Procedia Computer Science
Authors Peiyuan Jiang, Daji Ergu, Fangyao Liu, Ying Cai, Bo Ma
DOI 10.1016/j.procs.2022.01.135
Citations 2,562
Source OpenAlex

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