Abstract
Convolutional neural networks have become one of the important research directions in the field of computer vision based on deep learning, and they are widely used in object detection with excellent performance. Based on the research results of many scholars, the paper reviews the application research of convolutional neural networks in object detection, introduces its application research from three aspects: object detection based on candidate region, object detection based on regression and video object detection, and finally summarizes the development of convolutional neural networks in the field of object detection.
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