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Self-Supervised Feature Contrastive Learning for Small Weak Object Detection in Remote Sensing

Self-Supervised Feature Contrastive Learning for Small Weak Object Detection in Remote Sensing

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d187e7396844a5e933ddca4898e4aa0

Self-Supervised Feature Contrastive Learning for Small Weak Object Detection in Remote Sensing

About this item

Full title

Self-Supervised Feature Contrastive Learning for Small Weak Object Detection in Remote Sensing

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2025-04, Vol.17 (8), p.1438

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Despite advances in remote sensing object detection, accurately identifying small, weak objects remains challenging. Their limited pixel representation often fails to capture distinctive features, making them susceptible to environmental interference. Current detectors frequently miss these subtle feature variations. To address these challenges, we...

Alternative Titles

Full title

Self-Supervised Feature Contrastive Learning for Small Weak Object Detection in Remote Sensing

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2d187e7396844a5e933ddca4898e4aa0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d187e7396844a5e933ddca4898e4aa0

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs17081438

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