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Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks

PaperCitations, authors & open-access status

Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 16 citations, 2024 year and gold oa status.

16
Citations
2024
Year
gold
OA Status

Related on ScholarIQ

Shengbo Wang
Author
Scientific Reports
Journal
Welding Techniques and Residual Stresses
Topic
Welding Techniques and Residual Stresses
Topic
Industrial Vision Systems and Defect Detection
Topic
Advanced Neural Network Applications
Topic
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