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Revisiting Confidence Estimation: Towards Reliable Failure Prediction 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 5, 页码: 3370-3387
作者:  Zhu, Fei;  Zhang, Xu-Yao;  Cheng, Zhen;  Liu, Cheng-Lin
收藏  |  浏览/下载：14/0  |  提交时间：2024/07/03
Confidence estimation  uncertainty quantification  failure prediction  misclassification detection  selective classification  out-of-distribution detection  confidence calibration  model reliability  trustworthy  flat minima  
Deep representation learning for domain generalization with information bottleneck principle 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 12
作者:  Zhang, Jiao;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载：140/0  |  提交时间：2023/11/17
Domain generalization  Information bottleneck  Representation learning  
Adversarial training with distribution normalization and margin balance 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 136, 页码: 11
作者:  Cheng, Zhen;  Zhu, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
收藏  |  浏览/下载：281/0  |  提交时间：2023/01/09
Adversarial robustness  Adversarial training  Distribution normalization  Margin balance  
Towards prior gap and representation gap for long-tailed recognition 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Zhang, Ming-Liang;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载：303/0  |  提交时间：2022/11/14
Long-tailed learning  Prior gap  Representation gap  Image recognition  
A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 131, 页码: 11
作者:  Qian, Zhuang;  Huang, Kaizhu;  Wang, Qiu-Feng;  Zhang, Xu-Yao
收藏  |  浏览/下载：234/0  |  提交时间：2022/11/14
Adversarial examples  Adversarial training  Robust learning  
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:  Zhao, Mengbiao;  Feng, Wei;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(5999Kb)  |  收藏  |  浏览/下载：471/42  |  提交时间：2022/09/19
Costs  Annotations  Training  Labeling  Detectors  Data models  Benchmark testing  Mixed-supervised learning  scene text detection  weak supervision forms  expectation-maximization algorithm