Two-stage local constrained sparse coding for fine-grained visual categorization

Two-stage local constrained sparse coding for fine-grained visual categorization

Fine-grained visual categorization（FGVC） classifies the objects into categories which are both visually and semantically similar.Currently,the FGVC has included many species,i.e.,flowers,birds,and dogs.In these species,all categories have a characteristic with intra-class diversity and inter-class s...

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Veröffentlicht in:Science China. Information sciences 2018, Vol.61 (1), p.269-271, Article 018104
Hauptverfasser: Guo, Lihua, Guo, Chenggang, Li, Lei, Huang, Qinghua, Li, Yanshan, Li, Xuelong
Format: Artikel
Sprache:eng
Schlagworte:
Birds
Computer Science
Datasets
Dictionaries
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Information Systems and Communication Service
Optimization
Science
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Zusammenfassung:Fine-grained visual categorization（FGVC） classifies the objects into categories which are both visually and semantically similar.Currently,the FGVC has included many species,i.e.,flowers,birds,and dogs.In these species,all categories have a characteristic with intra-class diversity and inter-class similarity.
ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-017-9158-x