Towards Explainable Ear Recognition Systems Using Deep Residual Networks-Reference-Cited by-同舟云学术

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Towards Explainable Ear Recognition Systems Using Deep Residual Networks

Published:2021 Issue: Volume:9 Page:122254-122273
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alshazly Hammam^ORCID,Linse Christoph^ORCID,Barth Erhardt^ORCID,Idris Sahar Ahmed,Martinetz Thomas^ORCID

Funder

Deanship of Scientific Research at King Khalid University through the Research Groups Program

Bundesministeriums für Wirtschaft und Energie (BMWi) through the Mittelstand 4.0-Kompetenzzentrum Kiel Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09526589.pdf?arnumber=9526589

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3. Boosting the Performance of Deep Ear Recognition Systems Using Generative Adversarial Networks and Mean Class Activation Maps;Applied Sciences;2024-05-14

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5. Anti-Software Attack Ear Identification System Using Deep Feature Learning and Blockchain Protection;Symmetry;2024-01-09

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