P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization (Englisch)
- Neue Suche nach: Han, Junwei
- Weitere Informationen zu Han, Junwei:
- https://orcid.org/0000-0001-5545-7217
- Neue Suche nach: Yao, Xiwen
- Weitere Informationen zu Yao, Xiwen:
- https://orcid.org/0000-0002-7466-7428
- Neue Suche nach: Cheng, Gong
- Weitere Informationen zu Cheng, Gong:
- https://orcid.org/0000-0001-5030-0683
- Neue Suche nach: Feng, Xiaoxu
- Weitere Informationen zu Feng, Xiaoxu:
- https://orcid.org/0000-0003-2639-2447
- Neue Suche nach: Xu, Dong
- Weitere Informationen zu Xu, Dong:
- https://orcid.org/0000-0003-2775-9730
- Neue Suche nach: Han, Junwei
- Weitere Informationen zu Han, Junwei:
- https://orcid.org/0000-0001-5545-7217
- Neue Suche nach: Yao, Xiwen
- Weitere Informationen zu Yao, Xiwen:
- https://orcid.org/0000-0002-7466-7428
- Neue Suche nach: Cheng, Gong
- Weitere Informationen zu Cheng, Gong:
- https://orcid.org/0000-0001-5030-0683
- Neue Suche nach: Feng, Xiaoxu
- Weitere Informationen zu Feng, Xiaoxu:
- https://orcid.org/0000-0003-2639-2447
- Neue Suche nach: Xu, Dong
- Weitere Informationen zu Xu, Dong:
- https://orcid.org/0000-0003-2775-9730
In:
IEEE Transactions on Pattern Analysis and Machine Intelligence
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44
, 2
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579-590
;
2022
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization
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Beteiligte:Han, Junwei ( Autor:in ) / Yao, Xiwen ( Autor:in ) / Cheng, Gong ( Autor:in ) / Feng, Xiaoxu ( Autor:in ) / Xu, Dong ( Autor:in )
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Erschienen in:IEEE Transactions on Pattern Analysis and Machine Intelligence ; 44, 2 ; 579-590
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Verlag:
- Neue Suche nach: IEEE
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Erscheinungsdatum:01.02.2022
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Format / Umfang:4165674 byte
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Datenquelle:
Inhaltsverzeichnis – Band 44, Ausgabe 2
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