Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference62 articles.
1. K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 770–778.
2. S. Motiian, M. Piccirilli, D.A. Adjeroh, G. Doretto, Unified deep supervised domain adaptation and generalization, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 5715–5725.
3. A. Li, T. Luo, Z. Lu, T. Xiang, L. Wang, Large-scale few-shot learning: Knowledge transfer with class hierarchy, in: Proceedings of the Ieee/Cvf Conference on Computer Vision and Pattern Recognition, 2019, pp. 7212–7220.
4. Unsupervised meta-learning for few-shot learning;Xu;Pattern Recognit.,2021
5. H.-J. Ye, H. Hu, D.-C. Zhan, F. Sha, Few-shot learning via embedding adaptation with set-to-set functions, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 8808–8817.