论文信息 - Single-Pixel Machine Vision Using Spectral Encoding Through Diffractive Optical Networks

Single-Pixel Machine Vision Using Spectral Encoding Through Diffractive Optical Networks

We present and experimentally demonstrate a deep learning-driven machine-vision framework that trains diffractive surfaces to encode the spatial information objects into the output power spectrum for all-optical image classification using a single-pixel spectroscopic detector.

[1] Yi Luo,et al. Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks , 2018, IEEE Journal of Selected Topics in Quantum Electronics.

[2] Yi Luo,et al. All-optical machine learning using diffractive deep neural networks , 2018, Science.

[3] Christine Silberhorn,et al. Metasurface interferometry toward quantum sensors , 2019, Light, science & applications.

[4] Yi Luo,et al. Design of task-specific optical systems using broadband diffractive neural networks , 2019, Light, science & applications.

[5] Yi Luo,et al. Class-specific differential detection in diffractive optical neural networks improves inference accuracy , 2019, Advanced Photonics.