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基于重组性高斯自注意力的视觉Transformer 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 9, 页码: 1976-1988
作者:  赵亮;  周继开
Adobe PDF(29103Kb)  |  收藏  |  浏览/下载:4/1  |  提交时间:2024/04/24
Transformer  局部自注意力  混合高斯权重重组  图像分类  目标检测  
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  
Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 4-28
作者:  Mengting Liu;  Ying Zhou;  Yuwei Wu;  Feng Gao
Adobe PDF(14438Kb)  |  收藏  |  浏览/下载:2/1  |  提交时间:2024/04/23
Artificial intelligence (AI) art, audio-visual, artificial intelligence generated content (AIGC), multimodal, artistic evaluation  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
作者:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo
Adobe PDF(2873Kb)  |  收藏  |  浏览/下载:4/1  |  提交时间:2024/04/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
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  
Rolling Shutter Camera: Modeling, Optimization and Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 783-798
作者:  Bin Fan;  Yuchao Dai;  Mingyi He
Adobe PDF(2943Kb)  |  收藏  |  浏览/下载:3/1  |  提交时间:2024/04/23
Rolling shutter, motion modeling, image correction, temporal super-resolution, deep learning  
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 605-613
作者:  Haotong Qin;   Ge-Peng Ji;  Salman Khan;  Deng-Ping Fan;  Fahad Shahbaz Khan;  Luc Van Gool
Adobe PDF(10373Kb)  |  收藏  |  浏览/下载:2/0  |  提交时间:2024/04/23
Google Bard, multi-modal understanding, visual comprehension, large language models, conversational AI, chatbot  
A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 583-594
作者:  Xinyao Xu;  De Xu;  Fangbo Qin
Adobe PDF(1348Kb)  |  收藏  |  浏览/下载:4/1  |  提交时间:2024/04/23
Data augmentation, feature clustering, class-rebalance strategy, few-shot learning, fault diagnosis  
Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 569-582
作者:  Haoyu Lu;  Yuqi Huo;  Mingyu Ding;  Nanyi Fei;  Zhiwu Lu
Adobe PDF(2928Kb)  |  收藏  |  浏览/下载:2/1  |  提交时间:2024/04/23
Image-text retrieval, multimodal modeling, contrastive learning, weak correlation, computer vision  
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