Mutual Correlation Network for few-shot learning

Most metric-based Few-Shot Learning (FSL) methods focus on learning good embeddings of images. However, these methods either lack the ability to explore the cross-correlation (i.e., correlated information) between image pairs or explore limited consensus among the correlation map constrained by the...

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Veröffentlicht in:	Neural networks 2024-07, Vol.175, p.106289-106289, Article 106289
Hauptverfasser:	Chen, Derong, Chen, Feiyu, Ouyang, Deqiang, Shao, Jie
Format:	Artikel
Sprache:	eng
Schlagworte:	Few-shot classification Multi-level embedding Mutual correlation Self-attention mechanism
Online-Zugang:	Volltext
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