Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization
Fine-grained visual categorization is an emerging research area and has been attracting growing attention recently. Due to the large inter-class similarity and intra-class variance, it is extremely challenging to recognize objects in fine-grained domains. A traditional spatial pyramid matching model...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 2 vom: 18. Feb., Seite 878-92
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| Auteur principal: |
Zhang, Xiaopeng
(Auteur) |
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| Autres auteurs: |
Xiong, Hongkai,
Zhou, Wengang,
Tian, Qi |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2016
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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