Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference59 articles.
1. Aimar, E. S., Jonnarth, A., Felsberg, M., & Kuhlmann, M. (2023). Balanced product of calibrated experts for long-tailed recognition. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 19967–19977).
2. Alshammari, S., Wang, Y. X., Ramanan, D., & Kong, S. (2022). Long-tailed recognition via weight balancing. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 6897–6907).
3. A systematic study of the class imbalance problem in convolutional neural networks;Buda;Neural Networks,2018
4. Learning imbalanced datasets with label-distribution-aware margin loss;Cao,2019
5. Smote: Synthetic minority over-sampling technique;Chawla;Journal of Artificial Intelligence Research,2002