The Current Research Status of Computer Vision

Yongtao Li

2025

Abstract

This article explores two fundamental algorithmic techniques in the field of computer vision. For instance, in image processing, the goal of computer vision is to enable the system to interpret, understand, and extract useful information from visual input in a manner similar to human perception. However, these actions are supported by algorithmic techniques. Currently, in the field of computer vision, research on individual algorithmic techniques has become increasingly in-depth, and people's understanding of these technical concepts has become increasingly clear. This article provides an overall overview of two methods: supervised learning and self-supervised learning, and briefly lists their key methods as well as their respective advantages and disadvantages. Additionally, a simple comparison of these three methods is made from aspects such as training efficiency, data utilization, and generalization ability. In the end, this article proposes that future research should integrate various algorithmic techniques to achieve a balance between efficiency and accuracy.

Paper Citation

in Harvard Style

Li Y. (2025). The Current Research Status of Computer Vision. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 381-386. DOI: 10.5220/0014356200004718

in Bibtex Style

@conference{emiti25,
author={Yongtao Li},
title={The Current Research Status of Computer Vision},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={381-386},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014356200004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - The Current Research Status of Computer Vision
SN - 978-989-758-792-4
AU - Li Y.
PY - 2025
SP - 381
EP - 386
DO - 10.5220/0014356200004718
PB - SciTePress