Funder
National Natural Science Foundation of China
Natural Science Foundation of Zhejiang Province
Fundamental Research Funds for the Central Universities
Science and Technology Program of Gansu Province
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference84 articles.
1. Prototypical networks for few-shot learning;Snell,2017
2. F. Sung, Y. Yang, L. Zhang, T. Xiang, P.H. Torr, T.M. Hospedales, Learning to compare: Relation network for few-shot learning, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 1199–1208.
3. W. Li, L. Wang, J. Xu, J. Huo, Y. Gao, J. Luo, Revisiting local descriptor based image-to-class measure for few-shot learning, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 7260–7268.
4. W.-Y. Chen, Y.-C. Liu, Z. Kira, Y.-C.F. Wang, J.-B. Huang, A Closer Look at Few-shot Classification, in: International Conference on Learning Representations, 2019.
5. M.N. Rizve, S. Khan, F.S. Khan, M. Shah, Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 10836–10846.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献