Weighted average pooling of deep features for tattoo identification
Weighted average pooling of deep features for tattoo identification
About this item
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Publisher
New York: Springer US
Journal title
Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
The use of deep learning in computer vision has been extremely successful. Nevertheless, for the tattoo recognition task very few approaches incorporate this technique, mainly due to the lack of large datasets to train specific models. Within this domain, some works have used the intermediate layers of pre-trained object classification networks to...
Alternative Titles
Full title
Weighted average pooling of deep features for tattoo identification
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2682984431
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2682984431
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ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-022-12516-9
