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Towards Efficient Detection for Small Objects via Attention-Guided Detection Network and Data Augmen...

Towards Efficient Detection for Small Objects via Attention-Guided Detection Network and Data Augmen...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8472a0af8c2c45a5b007907b73874e82

Towards Efficient Detection for Small Objects via Attention-Guided Detection Network and Data Augmentation

About this item

Full title

Towards Efficient Detection for Small Objects via Attention-Guided Detection Network and Data Augmentation

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-10, Vol.22 (19), p.7663

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Small object detection has always been a difficult direction in the field of object detection, especially the detection of small objects in UAV aerial images. The images captured by UAVs have the characteristics of small objects and dense objects. In order to solve these two problems, this paper improves the performance of object detection from the...

Alternative Titles

Full title

Towards Efficient Detection for Small Objects via Attention-Guided Detection Network and Data Augmentation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8472a0af8c2c45a5b007907b73874e82

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8472a0af8c2c45a5b007907b73874e82

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22197663

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