Computer Vision Technology Based on Deep Learning
Jin Qiu, Jian Liu, Yunyi Shen · 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA) · 2021
With the development of artificial intelligence, computer vision technology that simulates human vision has received widespread attention. Based on the current commonly used method of computer vision technology-deep learning, this paper outlines the development of deep learning models, and determines the inflection point of the development of the introduction of convolutional neural networks. Not only that, convolutional neural networks combined with deep learning have developed rapidly and are widely used in the field of computer vision. Therefore, the structure and development process of the convolutional neural network are further analyzed. Subsequently, the three major difficulties in the field of computer vision-image classification, object detection, and image segmentation are compared and analyzed, and their differences and connection analysis are drawn. Finally, an overview of the difficulties to be optimized in computer vision, and computer vision technology It will continue to develop as a research hotspot.