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; Qionghai Dai

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, Qionghai Dai

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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.

Original language	English
Title of host publication	2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580767
Publication status	Published - May 2020
Externally published	Yes
Event	2020 Conference on Lasers and Electro-Optics, CLEO 2020 - San Jose, United States Duration: 10 May 2020 → 15 May 2020

Publication series

Name	Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS
Volume	2020-May
ISSN (Print)	1092-8081

Conference

Conference	2020 Conference on Lasers and Electro-Optics, CLEO 2020
Country/Territory	United States
City	San Jose
Period	10/05/20 → 15/05/20

Bibliographical note

Publisher Copyright:
© 2020 OSA.

Cite this

Yan, T., Wu, J., Zhou, T., Xie, H., Xu, F., Fan, J., Fang, L., Lin, X., & Dai, Q. (2020). Saliency Segmentation with Fourier-Space Diffractive Deep Neural Networks. In 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings Article 9192447 (Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS; Vol. 2020-May). Institute of Electrical and Electronics Engineers Inc..

@inproceedings{14e421b0f4d8415d9be471e57a1ddb24,

title = "Saliency Segmentation with Fourier-Space Diffractive Deep Neural Networks",

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.",

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

note = "Publisher Copyright: {\textcopyright} 2020 OSA.; 2020 Conference on Lasers and Electro-Optics, CLEO 2020 ; Conference date: 10-05-2020 Through 15-05-2020",

year = "2020",

month = may,

language = "English",

series = "Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings",

}

Yan, T, Wu, J, Zhou, T, Xie, H, Xu, F, Fan, J, Fang, L, Lin, X & Dai, Q 2020, Saliency Segmentation with Fourier-Space Diffractive Deep Neural Networks. in 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings., 9192447, Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS, vol. 2020-May, Institute of Electrical and Electronics Engineers Inc., 2020 Conference on Lasers and Electro-Optics, CLEO 2020, San Jose, United States, 10/05/20.

Saliency Segmentation with Fourier-Space Diffractive Deep Neural Networks. / Yan, Tao; Wu, Jiamin; Zhou, Tiankuang et al.
2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9192447 (Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS; Vol. 2020-May).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Saliency Segmentation with Fourier-Space Diffractive Deep Neural Networks

AU - Yan, Tao

AU - Wu, Jiamin

AU - Zhou, Tiankuang

AU - Xie, Hao

AU - Xu, Feng

AU - Fan, Jingtao

AU - Fang, Lu

AU - Lin, Xing

AU - Dai, Qionghai

PY - 2020/5

Y1 - 2020/5

N2 - 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.

AB - 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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M3 - Conference Paper published in a book

AN - SCOPUS:85091651213

T3 - Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS

BT - 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Conference on Lasers and Electro-Optics, CLEO 2020

Y2 - 10 May 2020 through 15 May 2020

ER -

Saliency Segmentation with Fourier-Space Diffractive Deep Neural Networks

Abstract

Publication series

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Bibliographical note

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