BSNet : Bi-Similarity Network for Few-shot Fine-grained Image Classification
Few-shot learning for fine-grained image classification has gained recent attention in computer vision. Among the approaches for few-shot learning, due to the simplicity and effectiveness, metric-based methods are favorably state-of-the-art on many tasks. Most of the metric-based methods assume a si...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 14., Seite 1318-1331
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| Auteur principal: |
Li, Xiaoxu
(Auteur) |
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| Autres auteurs: |
Wu, Jijie,
Sun, Zhuo,
Ma, Zhanyu,
Cao, Jie,
Xue, Jing-Hao |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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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 |
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