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CASIA OpenIR

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Mask Distillation Network for Conjunctival Hyperemia Severity Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 909-922
作者:  Mingchao Li;  Kun Huang;  Xiao Ma;  Yuexuan Wang;  Wen Fan;  Qiang Chen
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Mask distillation (MD), conjunctiva hyperemia, attention mechanism, severity classification, deep learning  
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：4/2  |  提交时间：2024/04/23
Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline  
Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 707-715
作者:  Chun-Ying Liu;  Gong-Ping Yang;   Yu-Wen Huang;  Fu-Xian Huang
Adobe PDF(1126Kb)  |  收藏  |  浏览/下载：4/2  |  提交时间：2024/04/23
Photoplethysmography (PPG) signal , biometric recognition, multiple scale, deep neural network, dual-domain attention  
ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 697-706
作者:  Kui-Kui Wang;  Gong-Ping Yang;  Lu Yang;  Yu-Wen Huang;  Yi-Long Yin
Adobe PDF(1151Kb)  |  收藏  |  浏览/下载：5/1  |  提交时间：2024/04/23
Biometrics, matrix factorization, electrocardiogram (ECG), semantic information, enhanced correlation  
Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:  Wenxuan Guo;  Hui-Ling Zhen;  Xijun Li;  Wanqian Luo;  Mingxuan Yuan;  Yaohui Jin;  Junchi Yan
Adobe PDF(1518Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
A Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 614-639
作者:  Bolin Gao;  Keke Wan;  Qien Chen;  Zhou Wang;  Rui Li;  Yu Jiang;  Run Mei;  Yinghui Luo;  Keqiang Li
Adobe PDF(12630Kb)  |  收藏  |  浏览/下载：4/1  |  提交时间：2024/04/23
Predictive cruise control (PCC), cloud control system (CCS), cooperative control, efficient operation, intelligent connected vehicle  
Speech Emotion Recognition Using Cascaded Attention Network with Joint Loss for Discrimination of Confusions 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 595-604
作者:  Yang Liu;  Haoqin Sun;  Wenbo Guan;  Yuqi Xia;   Zhen Zhao
Adobe PDF(1966Kb)  |  收藏  |  浏览/下载：4/1  |  提交时间：2024/04/23
Speech emotion recognition (SER), 3-dimensional (3D) feature, cascaded attention network (CAN), triplet loss, joint loss  
Region-adaptive Concept Aggregation for Few-shot Visual Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 554-568
作者:  Mengya Han;  Yibing Zhan;  Baosheng Yu;  Yong Luo;  Han Hu;  Bo Du;  Yonggang Wen;  Dacheng Tao
Adobe PDF(4324Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Few-shot learning, metric-based meta learning, concept learning, region-adaptive, concept-aggregation  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：7/3  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding