Saliency Segmentation with Fourier-space Diffractive Deep Neural Networks

Tao Yan; Jiamin Wu; Tiankuang Zhou; Tiankuang Zhou; Hao Xie; Feng Xu; Jingtao Fan; Lu Fang; Xing Lin; Xing Lin; Qionghai Dai

doi:10.1364/CLEO_SI.2020.STh4M.6

Conference on Lasers and Electro-Optics
OSA Technical Digest (Optica Publishing Group, 2020),
paper STh4M.6
•https://doi.org/10.1364/CLEO_SI.2020.STh4M.6

Saliency Segmentation with Fourier-space Diffractive Deep Neural Networks

Tao Yan, Jiamin Wu, Tiankuang Zhou, Hao Xie, Feng Xu, Jingtao Fan, Lu Fang, Xing Lin, and Qionghai Dai

CLEO: Science and Innovations 2020

Washington, DC United States
10–15 May 2020
ISBN: 978-1-943580-76-7

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Applications of Machine Learning (STh4M)

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T. Yan, J. Wu, T. Zhou, H. Xie, F. Xu, J. Fan, L. Fang, X. Lin, and Q. Dai, "Saliency Segmentation with Fourier-space Diffractive Deep Neural Networks," in Conference on Lasers and Electro-Optics, OSA Technical Digest (Optica Publishing Group, 2020), paper STh4M.6.

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Abstract

We propose to apply diffractive deep neural networks (D²NN) for solving advanced computer vision tasks and demonstrate the successful application of Fourier-space D²NN for all-optical saliency segmentation of both microscopic samples and macroscopic scenes.

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