Dynamic one-shot target detection and classification using a pseudo-Siamese network and its application to Raman spectroscopy-Reference-Cited by-同舟云学术

Dynamic one-shot target detection and classification using a pseudo-Siamese network and its application to Raman spectroscopy

Published:2021 Issue:22 Volume:146 Page:6997-7004
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Park Jae-Hyeon¹^ORCID,Yu Hyeong-Geun¹,Park Dong-Jo¹,Nam Hyunwoo²,Chang Dong Eui¹

Affiliation:

1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, South Korea

2. The CRB Defense Technology Directorate, Agency for Defense Development, Daejeon 31486, South Korea

Abstract

We devise our network based on a pseudo-Siamese deep neural network (DNN). Thanks to the pseudo-Siamese DNN structure, our network detects and classifies untrained chemicals with only one shot without preprocessing or retraining.

Funder

Agency for Defense Development

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AN/D1AN01352A

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