PercepWeldNet: A Novel Perception-Guided Deep Model for Welding Defect Detection
In this study, we introduce PercepWeldNet, a deep architecture designed for visual perception in welding defect detection, addressing the challenge of identifying semantically significant features within complex welding scenes. Our approach integrates multi-channel perceptual visual features to effe...
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| Main Author: | Xingxing Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11105451/ |
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