Object Detection in 20 Years: A Survey

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).

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 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.
• 2 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.
• 3 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).

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

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