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Position-aware lightweight object detectors with depthwise separable convolutions

Position-aware lightweight object detectors with depthwise separable convolutions

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918675858

Position-aware lightweight object detectors with depthwise separable convolutions

About this item

Full title

Position-aware lightweight object detectors with depthwise separable convolutions

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Journal of real-time image processing, 2021-06, Vol.18 (3), p.857-871

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Recently, significant improvements have been achieved for object detection algorithm by increasing the size of convolutional neural network (CNN) models, but the resulting increase of computational complexity poses an obstacle to practical applications. And some of the lightweight methods fail to consider the characteristics of object detection int...

Alternative Titles

Full title

Position-aware lightweight object detectors with depthwise separable convolutions

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2918675858

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918675858

Other Identifiers

ISSN

1861-8200

E-ISSN

1861-8219

DOI

10.1007/s11554-020-01027-1

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