A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Abstract: Automated sewer defects detection has become an important trend for better management and maintenance of urban sewer systems. Deep learning technology has developed rapidly and offers an ...

In the medical field, the detection of gastrointestinal polyps through endoscopic images is confronted with challenges such as complex backgrounds and numerous irrelevant factors. These issues often ...

Abstract: This paper proposes a Cascade R-CNN steel defect detection method based on improved multi head attention mechanism and dynamic multi-stage loss reweighting, and validates it on the ...