Few-shot image classification algorithm based on attention mechanism and weight fusion
Few-shot image classification algorithm based on attention mechanism and weight fusion
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Aiming at the existing problems of metric-based methods, there are problems such as inadequate feature extraction, inaccurate class feature representation, and single similarity measurement. A new model based on attention mechanism and weight fusion strategy is proposed in this paper. Firstly, the image is passed through the conv4 network with chan...
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Full title
Few-shot image classification algorithm based on attention mechanism and weight fusion
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TN_cdi_doaj_primary_oai_doaj_org_article_00d0e0d244584588ba3332a7cd680bc1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_00d0e0d244584588ba3332a7cd680bc1
Other Identifiers
ISSN
1110-1903
E-ISSN
2536-9512
DOI
10.1186/s44147-023-00186-9
