Overview of Target Detection Algorithm Based on Deep Learning
Target detection is the core problem of computer vision research, and deep learning algorithms have a strong self-learning ability. Applying deep learning methods into target detection can greatly improve the performance of traditional target detection methods. First of all, we introduce the problems faced by traditional target detection algorithms, and then the typical second-order and first-order deep learning algorithms, and finally summarized the future prospects of deep learning algorithms.
Authors
- Tianxiang Tang
- Jinke Huang (ORCID: https://orcid.org/0000-0002-6870-4405)
- Xichao Dai
- Min Fu (ORCID: https://orcid.org/0000-0002-2038-9039)
Institutions
- Air Force Engineering University (CN)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1109/icsece61636.2024.10729599
- Citations
- 7
- Primary Topic
- Advanced Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.31