SRFS-NET: Few Shot Learning Combined with the Salient Region

Author:

Li Ying1,Huang RenJie1,Chen YuJie1,Kang Da1,Yu ChunYan1,Wang Xiu1

Affiliation:

1. College of Computer and Data Science, Fuzhou University, China

Publisher

ACM

Reference32 articles.

1. Li F F , Fergus R , Perona P. A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories ,IEEE International Conference on Computer Vision . IEEE , 2003 . Li F F, Fergus R,Perona P. A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories ,IEEE International Conference on Computer Vision. IEEE, 2003.

2. Finn C Abbeel P Levine S. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. 2017. Finn C Abbeel P Levine S. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. 2017.

3. Feature combination strategies for saliency-based visual attention systems

4. Computational modelling of visual attention

5. Snell J , Swersky K , Zemel R S . Prototypical Networks for Few-shot Learning . 2017 . Snell J , Swersky K , Zemel R S . Prototypical Networks for Few-shot Learning. 2017.

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