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Object Detection in 20 Years: A Survey

📅 January 27, 2023 👤 Zhengxia Zou, Keyan Chen, Zhenwei Shi et al. 📖 Proceedings of the IEEE 📊 2,837 citations

🤖 Plain-English Summary

Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. This article extensively reviews this fast-moving research field in the light of technical evolution, spanning over a quarter-century’s time (from the 1990s to 2022).

🔑 Key Findings

  • Over the past two decades, we have seen a rapid technological evolution of object detection and its profound impact on the entire computer vision field.
  • If we consider today’s object detection technique as a revolution driven by deep learning, then, back in the 1990s, we would see the ingenious thinking and long-term perspective design of early computer vision.
  • This article extensively reviews this fast-moving research field in the light of technical evolution, spanning over a quarter-century’s time (from the 1990s to 2022).

💡 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 27, 2023
Journal Proceedings of the IEEE
Authors Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye
DOI 10.1109/jproc.2023.3238524
Citations 2,837
Source OpenAlex

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