AI Slashes Defect Simulations From Hours to Milliseconds

Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...
GitHub

Steel Defect Detection with YOLOv8

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...
IEEE

PBSD-Net: Prismatic Battery Surface Defect Detection via Sliding Slice Amplification and Shunted Dynamic Snake Convolution

Abstract: Automatically detecting surface defects in prismatic battery is crucial for ensuring quality meets established standards. Traditional methods face challenges in accurately identifying these ...
IEEE

GCaSNet: Global Context-Aware Selective Detection Network for Rail Surface Defect Detection

Abstract: The accurate and fast detection of rail surface defects is of great significance for the safe operation of rail transport. Convolutional neural network (CNN) is the dominant choice for rail ...