Funder
Australian Research Council
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference42 articles.
1. Y. Zhang, H. Tang, K. Jia, Fine-grained visual categorization using meta-learning optimization with sample selection of auxiliary data, in: European Conference on Computer Vision, 2018, pp. 233–248.
2. The Caltech-UCSD Birds-200–2011 dataset;Wah,2011
3. A developmental approach to machine learning?;Smith;Front. Psychol.,2017
4. Y. Zhu, C. Liu, S. Jiang, Multi-attention meta learning for few-shot fine-grained image recognition, in: International Joint Conference on Artificial Intelligence, 2020, pp. 1090–1096.
5. J. Snell, K. Swersky, R. Zemel, Prototypical networks for few-shot learning, in: Advances in Neural Information Processing Systems, 2017, pp. 112–121.
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