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CASIA OpenIR

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A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 153-168
作者:  Zefa Hu;  Ziyi Ni;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(1525Kb)  |  收藏  |  浏览/下载：18/5  |  提交时间：2024/04/23
Medical dialogue understanding, information extraction, text generation, knowledge-enhanced prompt, low-resource setting, data augmentation  
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：19/5  |  提交时间：2024/04/23
Insulator defect, object detection, Swin transformer, data augmentation, context information  
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：17/6  |  提交时间：2024/04/23
Data augmentation, feature clustering, class-rebalance strategy, few-shot learning, fault diagnosis  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Adobe PDF(2432Kb)  |  收藏  |  浏览/下载：84/1  |  提交时间：2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
EventMix: An efficient data augmentation strategy for event-based learning 期刊论文
INFORMATION SCIENCES, 2023, 卷号: 644, 页码: 11
作者:  Shen, Guobin;  Zhao, Dongcheng;  Zeng, Yi
收藏  |  浏览/下载：83/0  |  提交时间：2023/11/17
Event based data augmentation  Neuromorphic data  Spiking neural networks  Reasonable label assignment  Gaussian mixture model  
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8920-8935
作者:  Cao, Jie;  Luo, Mandi;  Yu, Junchi;  Yang, Ming-Hsuan;  He, Ran
收藏  |  浏览/下载：89/0  |  提交时间：2023/11/17
Generative adversarial networks  image synthesis  data augmentation  few-shot image-to-image translation  
Cognitive-Based Crack Detection for Road Maintenance: An Integrated System in Cyber-Physical-Social Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 卷号: 53, 期号: 6, 页码: 3485-3500
作者:  Fan, Lili;  Cao, Dongpu;  Zeng, Changxian;  Li, Bai;  Li, Yunjie;  Wang, Fei-Yue
收藏  |  浏览/下载：48/0  |  提交时间：2023/11/17
Roads  Maintenance engineering  Metaverse  Visualization  Real-time systems  Monitoring  Safety  Brain inspired  crack detection  data augmentation  metaverse  road maintenance  visual cognition  
Differentiable RandAugment: Learning Selecting Weights and Magnitude Distributions of Image Transformations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 2413-2427
作者:  Xiao, Anqi;  Shen, Biluo;  Tian, Jie;  Hu, Zhenhua
收藏  |  浏览/下载：64/0  |  提交时间：2023/11/17
Task analysis  Training  Data models  Costs  Optimization  Search problems  Upper bound  Data augmentation  automated machine learning  differentiable optimization  random augmentation  
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, 页码: 1-12
作者:  Xu, Xinyao;  Xu, De;  Qin, Fangbo
Adobe PDF(1677Kb)  |  收藏  |  浏览/下载：177/61  |  提交时间：2023/06/21
data augmentation  feature clustering  class-rebalance strategy  few-shot learning  fault diagnosis  
Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607
作者:  Lili Fan;  Shen Li;  Ying Li;  Bai Li;  Dongpu Cao;  Fei-Yue Wang
Adobe PDF(23502Kb)  |  收藏  |  浏览/下载：97/13  |  提交时间：2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset