Meta-collaborative comparison for effective cross-domain few-shot learning

Author:

Zhou Fei,Wang Peng,Zhang LeiORCID,Wei WeiORCID,Zhang Yanning

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference39 articles.

1. A broader study of cross-domain few-shot learning;Guo,2020

2. Cross-domain few-shot classification via class-shared and class-specific dictionaries;Xu;Pattern Recognit.,2023

3. Fei Zhou, Peng Wang, Lei Zhang, Wei Wei, Yanning Zhang, Revisiting Prototypical Network for Cross Domain Few-Shot Learning, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 20061–20070.

4. Yuqian Fu, Yu Xie, Yanwei Fu, Yu-Gang Jiang, StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 24575–24584.

5. Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang, Ming-Hsuan Yang, Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation, in: International Conference on Learning Representations, 2019.

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