Add to BibSonomyAbstract
We investigate the sensitivity of diffractive optical networks to random object translation, scaling and rotation operations, and present a deep learning-based training strategy to design shift-, scale- and rotation invariant diffractive networks.
© 2021 The Author(s)
PDF Article | Presentation VideoMore Like This
Misalignment Tolerant Diffractive Optical Networks
Deniz Mengu, Yifan Zhao, Nezih T. Yardimci, Yair Rivenson, Mona Jarrahi, and Aydogan Ozcan
FM3L.7 CLEO: QELS_Fundamental Science (CLEO:FS) 2021
Ensemble Learning of Diffractive Optical Neural Networks
Md Sadman Sakib Rahman, Jingxi Li, Deniz Mengu, Yair Rivenson, and Aydogan Ozcan
CM6B.2 Computational Optical Sensing and Imaging (COSI) 2021
Deep Learning-designed Diffractive Neural Networks
Xing Lin, Yair Riverson, Nezih T. Yardimci, Muhammed Veli, Yi Luo, Mona Jarrahi, and Aydogan Ozcan
SF1N.2 CLEO: Science and Innovations (CLEO:S&I) 2019