Research Progress of Convolutional Neural Network and its Application in Object Detection
It provides a summary for researchers in computer vision, but it is incremental as it does not introduce new methods or results.
This paper reviews the research progress of convolutional neural networks (CNNs) and their application in object detection, highlighting current deficiencies and future directions.
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.