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.

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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
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article

Overview of Target Detection Algorithm Based on Deep Learning

Tianxiang Tang, Jinke Huang, Xichao Dai, Min Fu
7 citations
Advanced Algorithms and Applications
1.31
article

Overview of Target Detection Algorithm Based on Deep Learning

Tianxiang Tang, Jinke Huang, Xichao Dai, Min Fu
article en
7 citations

Abstract

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.

Air Force Engineering University (CN)
Openalex Percentile: Top 19%
Advanced Algorithms and Applications
1.31
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