Hybrid optoelectronic architecture with DMD optical convolution, compressed sensing, and CLIP alignment maintains defect detection accuracy while cutting data volume by 90% and computation by 60%.
A coattention enhanced multimodal feature fusion with inner feature for anomaly detection,
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An Integrated Hardware-Software Design for Low-Data Spatial Defect Detection in Robotic Visual Inspection with Hybrid Optoelectronic Neural Networks
Hybrid optoelectronic architecture with DMD optical convolution, compressed sensing, and CLIP alignment maintains defect detection accuracy while cutting data volume by 90% and computation by 60%.