Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning-Reference-Cited by-同舟云学术

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Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning

Published:2023-11-15 Issue: Volume: Page:213-225
ISSN:0302-9743
Container-title:Neural Information Processing
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Author:

Xu Wenxiang,Jing Yongcheng,Zhou Linyun,Huang Wenqi,Cheng Lechao,Feng Zunlei,Song Mingli

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-8070-3_17

Reference39 articles.

1. Cao, Y., Long, M., Wang, J., Zhu, H., Wen, Q.: Deep quantization network for efficient image retrieval. In: AAAI (2016)

2. Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: SMOTE: synthetic minority over-sampling technique.J. Artif. Intell. Res. 16, 321–357 (2002)

3. Lecture Notes in Computer Science;P Chu,2020

4. Cui, Y., Jia, M., Lin, T.Y., Song, Y., Belongie, S.: Class-balanced loss based on effective number of samples. In: CVPR (2019)

5. Feng, C., Zhong, Y., Huang, W.: Exploring classification equilibrium in long-tailed object detection. In: ICCV (2021)

Cited by 1 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

1. Deep Kernel Calibration;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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