Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels-Reference-Cited by-同舟云学术

Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels

Published:2021 Issue: Volume: Page:78-89
ISSN:0302-9743
Container-title:Pattern Recognition and Computer Vision
language:
Short-container-title:

Author:

Li Panle,He Xiaohui,Song Dingjun,Ding Zihao,Qiao Mengjia,Cheng Xijie,Li Runchuan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-88013-2_7

Reference18 articles.

1. Algan, G., Ulusoy, I.: Image classification with deep learning in the presence of noisy labels: a survey. arXiv preprint arXiv:1912.05170 (2019)

2. Arpit, D., et al.: A closer look at memorization in deep networks. arXiv: Machine Learning (2017)

3. Azadi, S., Feng, J., Jegelka, S., Darrell, T.: Auxiliary image regularization for deep CNNs with noisy labels. arXiv: Computer Vision and Pattern Recognition (2015)

4. Ding, G., Guo, Y., Chen, K., Chu, C., Han, J., Dai, Q.: DECODE: deep confidence network for robust image classification. IEEE Trans. Image Process. 28(8), 3752–3765 (2019)

5. Frenay, B., Verleysen, M.: Classification in the presence of label noise: a survey. IEEE Trans. Neural Networks 25(5), 845–869 (2014)

Cited by 4 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. Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence;Information;2024-05-22

2. White Blood Cell Classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under Medical Microscope;Algorithms;2023-11-15

3. Automated Human Facial Emotion Recognition System Using Depthwise Separable Convolutional Neural Network;2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2023-07-13

4. Predicting At-Risk Students Using the Deep Learning BLSTM Approach;2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH);2022-05