Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning
Few-shot learning (FSL) poses a significant challenge in classifying unseen classes with limited samples, primarily stemming from the scarcity of data. Although numerous generative approaches have been investigated for FSL, their generation process often results in entangled outputs, exacerbating th...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 30., Seite 3520-3535
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| 1. Verfasser: |
Dang, Zhuohang
(VerfasserIn) |
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| Weitere Verfasser: |
Luo, Minnan,
Wang, Jihong,
Jia, Chengyou,
Yan, Caixia,
Dai, Guang,
Chang, Xiaojun,
Zheng, Qinghua |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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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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