Detection of Welding Defects Tracked by YOLOv4 Algorithm
The recall rate of the original YOLOv4 model for detecting internal defects in aluminum alloy welds is relatively low. To address this issue, this paper introduces an enhanced model, YOLOv4-cs1. The improvements include optimizing the stacking method of residual blocks, modifying the activation func...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2025-02-01
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| Edice: | Applied Sciences |
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| On-line přístup: | https://www.mdpi.com/2076-3417/15/4/2026 |
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