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Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 822-836
作者:  Kai Zhang;  Yawei Li;  Jingyun Liang;  Jiezhang Cao;  Yulun Zhang;  Hao Tang;  Deng-Ping Fan;  Radu Timofte;  Luc Van Gool
Adobe PDF(7952Kb)  |  收藏  |  浏览/下载：23/8  |  提交时间：2024/04/23
Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline  
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 666-682
作者:  Cheng-Cheng Ma;  Bao-Yuan Wu;  Yan-Bo Fan;  Yong Zhang;   Zhi-Feng Li
Adobe PDF(9598Kb)  |  收藏  |  浏览/下载：39/11  |  提交时间：2024/04/23
Adversarial defense, adversarial detection, generalized Gaussian distribution, Benford-Fourier coefficients, image classification  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载：29/4  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
Towards Interpretable Defense Against Adversarial Attacks via Causal Inference 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 3, 页码: 209-226
作者:  Min Ren;  Yun-Long Wang;  Zhao-Feng He
Adobe PDF(5143Kb)  |  收藏  |  浏览/下载：16/5  |  提交时间：2024/04/23
Adversarial sample  adversarial defense  causal inference  interpretable machine learning  transformers