Log in to save to my catalogue

Single Image Super-Resolution via Wide-Activation Feature Distillation Network

Single Image Super-Resolution via Wide-Activation Feature Distillation Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a347f3f58fd74b7289e2dcb2e7765859

Single Image Super-Resolution via Wide-Activation Feature Distillation Network

About this item

Full title

Single Image Super-Resolution via Wide-Activation Feature Distillation Network

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-07, Vol.24 (14), p.4597

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Feature extraction plays a pivotal role in the context of single image super-resolution. Nonetheless, relying on a single feature extraction method often undermines the full potential of feature representation, hampering the model's overall performance. To tackle this issue, this study introduces the wide-activation feature distillation network (WF...

Alternative Titles

Full title

Single Image Super-Resolution via Wide-Activation Feature Distillation Network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a347f3f58fd74b7289e2dcb2e7765859

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a347f3f58fd74b7289e2dcb2e7765859

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24144597

How to access this item