A Survey of Object Detection Algorithms in Deep Convolutional Neural Network

Inhalt:
Deep learning has become the most widely used technology in the field of computer vision. It is worth noting that object detection technology based on deep learning is a hot research topic. Firstly, this paper briefly introduces the basic concepts of deep learning technology. Then, the latest research progress of object detection technology is reviewed. Two typical algorithms in the field of object detection are selected: RCNN and YOLO, which represent two directions of the two-stage detection algorithm and one-stage detection algorithm in the field of object detection. Finally, the existing problems of deep learning and the development trends are discussed.