A Survey of Current Research on Image Target Detection Algorithms Based on Deep Convolutional Neural Networks

As an important research achievement in the computer field, deep convolutional neural networks have been widely used in image classification problems. With the improvement of the accuracy of image classification, image target detection algorithms based on convolutional neural networks have gradually become a current research hotspot. This article first reviews the network models that are of great significance to the development of convolutional neural networks and the recent years of candidate frame extraction, regression, and anchor-free object detection algorithms based on convolutional neural networks. Finally, combined with the problems of convolutional neural networks and target detection algorithms, prospects for future research directions are made.