Improved YOLOv4-Tiny Target Detection Method Based on Adaptive Self-Order Piecewise Enhancement and Multiscale Feature Optimization

Improved YOLOv4-Tiny Target Detection Method Based on Adaptive Self-Order Piecewise Enhancement and Multiscale Feature Optimization

To improve the accuracy of material identification under low contrast conditions, this paper proposes an improved YOLOv4-tiny target detection method based on an adaptive self-order piecewise enhancement and multiscale feature optimization. The model first constructs an adaptive self-rank piecewise...

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Bibliographic Details
Main Authors: Dengsheng Cai, Zhigang Lu, Xiangsuo Fan, Wentao Ding, Bing Li
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
deep learning
target detection
adaptive self-order piecewise enhancement
multiscale feature optimization
Online Access:https://www.mdpi.com/2076-3417/13/14/8177

Internet

https://www.mdpi.com/2076-3417/13/14/8177

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