Nature

An improved steel defect detection model using multi-scale feature fusion based on YOLO-MFD

To address the challenges of limited detection accuracy for small targets in complex backgrounds and the difficulty in model deployment due to a large number of parameters in steel surface defect ...
Nature

Optimization of deep learning-based faster R-CNN network for vehicle detection

Object detection is a critical task in computer vision, involving the identification and localization of objects within an image 1. Object detection algorithms typically extract meaningful results ...
pv magazine International

Detecting PV module defects at a single glance

Researchers in China have developed a novel deep learning model to detect defects in photovoltaic panels. The approach leverages high-resolution visible light imaging to identify defects using an ...
Semiconductor Engineering

Refining Vision-Language Models For Lithography Defect Detection

“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...
Hosted on MSN

'Flawless on the outside, flipped within': Detecting hidden defects in 2D dielectrics with light

A material may appear flawless on the surface yet fail to function properly. The cause lies in structural defects hidden within two-dimensional thin films, which are considered key materials for ...