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Deep learning approaches on computer vision
- 1 Northeast Forestry University, Harbin, China
* Author to whom correspondence should be addressed.
Abstract
In recent years, deep learning technology has made remarkable achievements in the field of computer vision, promoting the rapid development of image recognition, image generation, image understanding and other tasks. The combination of deep learning and computer vision has brought revolutionary changes to tasks such as image recognition, image generation and image understanding. This paper systematically introduces the development of deep learning and computer and the evolution of key technologies. Further, in order to give readers a deeper understanding of the field of computer vision, this article details the latest research results of some well-known scholars in computer vision, which are published in flagship conferences. The main contribution of this paper is to review the latest research results of computer vision in detail, and look forward to the future research direction and space in this field.
Keywords
Deep learning; Computer vision; Object detection; Convolutional neural networks
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Cite this article
Liu,Y. (2024).Deep learning approaches on computer vision.Applied and Computational Engineering,92,59-67.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 6th International Conference on Computing and Data Science
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