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RISThree-Dimensional-Slice-Super-Resolution-Net: A Fast Few Shooting Learning Model for 3D Super-Resolution Using Slice-Up and Slice-Reconstruction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: 3D modeling accurately depicts the physical world but typically requires substantial data acquisition resources and significant storage space. We introduce a novel three-dimensional slice-reconstruction model (3DSR) to ...
Cross-Domain Transfer Learning for Galvanized Steel Strips Defect Detection and Recognition
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Defect detection is a crucial direction of deep learning, which is suitable for industrial inspection of product quality in strip steel. As the strip steel production line continuously outputs products, it is necessary to ...
Intelligent Detection and Classification of Surface Defects on ColdRolled Galvanized Steel Strips Using a DataDriven Faulty Model With Attention Mechanism
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the production of coldrolled galvanized steel strips used for stamping car body parts, the insitu and realtime defect detection is crucial for quality control, in which various types of defects inevitably occur. It is ...
Intelligent Detection and Classification of Surface Defects on Cold-Rolled Galvanized Steel Strips Using a Data-Driven Faulty Model With Attention Mechanism
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the production of cold-rolled galvanized steel strips used for stamping car body parts, the in-situ and real-time defect detection is crucial for quality control, in which various types of defects inevitably occur. It ...