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CASIA OpenIR

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A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410
作者:  Dezheng Wang;  Yinglong Wang;  Fan Yang;  Liyang Xu;  Yinong Zhang;  Yiran Chen;  Ning Liao
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：10/0  |  提交时间：2024/04/23
Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction  
Comprehensive Relation Modelling for Image Paragraph Generation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 369-382
作者:  Xianglu Zhu;  Zhang Zhang;  Wei Wang;  Zilei Wang
Adobe PDF(1963Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Image paragraph generation, visual relationship, scene graph, graph convolutional network (GCN), long short-term memory  
Enhancing Multi-agent Coordination via Dual-channel Consensus 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 349-368
作者:  Qingyang Zhang;  Kaishen Wang;  Jingqing Ruan;  Yiming Yang;  Dengpeng Xing;  Bo Xu
Adobe PDF(4997Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Multi-agent reinforcement learning, contrastive representation learning, consensus, multi-agent cooperation, cognitive consistency  
Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 331-348
作者:  Guanghui Shi;  Shasha Mao;  Shuiping Gou;  Dandan Yan;  Licheng Jiao;  Lin Xiong
Adobe PDF(3926Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Facial expression recognition, deep neural network, multiple network ensemble, attention network, facial crucial regions  
Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 257-271
作者:  Bo-Jing Feng;  Xi Cheng;  Hao-Nan Xu;  Wen-Fang Xue
Adobe PDF(2621Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Corporate credit rating, hierarchical relation, heterogeneous graph neural networks, adversarial learning  
Boosting Multi-modal Ocular Recognition via Spatial Feature Reconstruction and Unsupervised Image Quality Estimation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 197-214
作者:  Zihui Yan;  Yunlong Wang;  Kunbo Zhang;  Zhenan Sun;  Lingxiao He
Adobe PDF(3457Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Iris recognition, periocular recognition, spatial feature reconstruction, fully convolutional network, flexible matching, unsupervised iris quality assessment, adaptive weight fusion  
A Simple yet Effective Framework for Active Learning to Rank 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 169-183
作者:  Qingzhong Wang;  Haifang Li;  Haoyi Xiong;  Wen Wang;  Jiang Bian;  Yu Lu;  Shuaiqiang Wang;  Zhicong Cheng;  Dejing Dou;  Dawei Yin
Adobe PDF(2194Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Search, information retrieval, learning to rank, active learning, query by committee  
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
Deep Industrial Image Anomaly Detection: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
作者:  Jiaqi Liu;  Guoyang Xie;  Jinbao Wang;  Shangnian Li;  Chengjie Wang;  Feng Zheng;  Yaochu Jin
Adobe PDF(3376Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 89-103
作者:  Chaojie Wu;  Mingyang Li;  Ying Gao;  Xinyan Xie;  Wing W. Y. Ng;  Ahmad Musyafa
Adobe PDF(7319Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Weakly supervised object localization, erasing method, deep learning, computer vision, art authentication and copyright protection