Learning Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity
Metric-based methods achieve promising performance on few-shot classification by learning clusters on support samples and generating shared decision boundaries for query samples. However, existing methods ignore the inaccurate class center approximation introduced by the limited number of support sa...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 21., Seite 4543-4555
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| 1. Verfasser: |
Guo, Yurong
(VerfasserIn) |
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| Weitere Verfasser: |
Du, Ruoyi,
Li, Xiaoxu,
Xie, Jiyang,
Ma, Zhanyu,
Dong, Yuan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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