  With the improvement of computer performance and the increase of data volume,
the object detection based on convolutional neural network (CNN) has become the
main algorithm for object detection. This paper summarizes the research
progress of convolutional neural networks and their applications in object
detection, and focuses on analyzing and discussing a specific idea and method
of applying convolutional neural networks for object detection, pointing out
the current deficiencies and future development direction.
