Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. 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). A number of topics have been covered in this article, including the milestone detectors in history, detection datasets, metrics, fundamental building blocks of the detection system, speedup techniques, and recent state-of-the-art detection methods.

中文翻译：

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20 年来的物体检测：调查


目标检测作为计算机视觉中最基本和最具挑战性的问题之一，近年来受到了广泛的关注。在过去的二十年里，我们看到了物体检测技术的快速发展及其对整个计算机视觉领域的深远影响。如果我们把今天的物体检测技术视为一场由深度学习驱动的革命，那么，早在20世纪90年代，我们就会看到早期计算机视觉的巧妙思维和长远视角设计。本文从技术演变的角度广泛回顾了这一快速发展的研究领域，跨越了四分之一个世纪的时间（从 1990 年代到 2022 年）。本文涵盖了许多主题，包括历史上的里程碑检测器、检测数据集、指标、检测系统的基本构建模块、加速技术和最新的最先进的检测方法。