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CASIA OpenIR

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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：5/1  |  提交时间：2024/04/23
Facial expression recognition, deep neural network, multiple network ensemble, attention network, facial crucial regions  
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 283-293
作者:  Bowen Chen;  Xiao Ding;  Yi Zhao;  Bo Fu;  Tingmao Lin;  Bing Qin;  Ting Liu
Adobe PDF(1796Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2024/04/23
Cognition inspired natural language processing, psycholinguistics, explainability, text difficulty, curriculum 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：3/1  |  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  
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：5/1  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
Deep Video Harmonization by Improving Spatial-temporal Consistency 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 46-54
作者:  Xiuwen Chen;  Li Fang;  Long Ye;  Qin Zhang
Adobe PDF(3779Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Harmonization, temporal consistency, video editing, video composition, nonlocal similarity  
Transmission Line Insulator Defect Detection Based on Swin Transformer and Context 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 729-740
作者:  Yu Xi;  Ke Zhou;  Ling-Wen Meng;  Bo Chen;  Hao-Min Chen;  Jing-Yi Zhang
Adobe PDF(18337Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Insulator defect, object detection, Swin transformer, data augmentation, context information  
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  
Video Polyp Segmentation: A Deep Learning Perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 6, 页码: 531-549
作者:  Ge-Peng Ji;  Guobao Xiao;  Yu-Cheng Chou;  Deng-Ping Fan;  Kai Zhao;  Geng Chen;  Luc Van Gool
Adobe PDF(9520Kb)  |  收藏  |  浏览/下载：6/1  |  提交时间：2024/04/23
Video polyp segmentation (VPS)  dataset  self-attention  colonoscopy  abdomen  
Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 439-455
作者:  Qiongyi Zhou;  Changde Du;  Huiguang He
Adobe PDF(7698Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Convolutional neural network (CNN)  vision transformer (ViT)  multi-modal networks  spatial-temporal networks  visual neural encoding  brain-like neural networks  
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：8/1  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey