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Cattle Target Segmentation Method in Multi-Scenes Using Improved DeepLabV3+ Method

Cattle Target Segmentation Method in Multi-Scenes Using Improved DeepLabV3+ Method

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a83a6d986cd409a81cd021f30c47b68

Cattle Target Segmentation Method in Multi-Scenes Using Improved DeepLabV3+ Method

About this item

Full title

Cattle Target Segmentation Method in Multi-Scenes Using Improved DeepLabV3+ Method

Publisher

Switzerland: MDPI AG

Journal title

Animals (Basel), 2023-08, Vol.13 (15), p.2521

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Obtaining animal regions and the relative position relationship of animals in the scene is conducive to further studying animal habits, which is of great significance for smart animal farming. However, the complex breeding environment still makes detection difficult. To address the problems of poor target segmentation effects and the weak generaliz...

Alternative Titles

Full title

Cattle Target Segmentation Method in Multi-Scenes Using Improved DeepLabV3+ Method

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2a83a6d986cd409a81cd021f30c47b68

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a83a6d986cd409a81cd021f30c47b68

Other Identifiers

ISSN

2076-2615

E-ISSN

2076-2615

DOI

10.3390/ani13152521

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