A Few-shot Physics-inspired Diffractive Neural Network for Zooming Image Edge Detection

We propose physics-inspired diffractive neural networks for zooming image edge detection. By embedding DNN-layers into the physical model of traditional lens imaging, our method requires fewer training-data, less diffractive layers, while achieving better generalization performance.