Steel Surface Defect Detection Using Learnable Memory Vision Transformer
Syed Tasnimul Karim Ayon, Farhan Md. Siraj, Jia Uddin
2025Computers, materials & continua/Computers, materials & continua (Print)10 citationsDOIOpen Access PDF
Abstract
This study investigates the application of Learnable Memory Vision Transformers (LMViT) for detecting metal surface flaws, comparing their performance with traditional CNNs, specifically ResNet18 and ResNet50, as well as othe... | Find, read and cite all the research you need on Tech Science Press
Topics & Concepts
TransformerMaterials scienceComputer visionArtificial intelligenceComputer scienceElectrical engineeringEngineeringVoltageIndustrial Vision Systems and Defect DetectionImage and Object Detection TechniquesSurface Roughness and Optical Measurements