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Optimized Dropkey-Based Grad-CAM: Toward Accurate Image Feature Localization

Optimized Dropkey-Based Grad-CAM: Toward Accurate Image Feature Localization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e45b0d13c87f44578f959882ee5f8d9a

Optimized Dropkey-Based Grad-CAM: Toward Accurate Image Feature Localization

About this item

Full title

Optimized Dropkey-Based Grad-CAM: Toward Accurate Image Feature Localization

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-10, Vol.23 (20), p.8351

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Regarding the interpretable techniques in the field of image recognition, Grad-CAM is widely used for feature localization in images to reflect the logical decision-making information behind the neural network due to its high applicability. However, extensive experimentation on a customized dataset revealed that the deep convolutional neural networ...

Alternative Titles

Full title

Optimized Dropkey-Based Grad-CAM: Toward Accurate Image Feature Localization

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e45b0d13c87f44578f959882ee5f8d9a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e45b0d13c87f44578f959882ee5f8d9a

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23208351

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