Transferlearning相关论文
Software Defect Prediction (SDP) technology is an effective tool for improving software system quality that has attracte......
Transfer Learning Algorithm Design for Feature Transfer Problem in Motor Imagery Brain-computer Inte
The non-stationary of the motor imagery electroencephalography(MI-EEG) signal is one of the main limitations for the dev......
The COVID-19 medical diagnosis method based on individual\'s chest X-ray (CXR) is achieved dif-ficultly in the initial......
Data-driven process-monitoring methods have been the mainstream for complex industrial systems due to their universality......
Industrial Control Systems (ICSs) are the lifeline of a country.Therefore,the anomaly detection of ICS traffic is an imp......
Tunnel boring machine (TBM) vibration induced by cutting complex ground contains essential infor-mation that can help en......
Roof falls due to geological conditions are major hazards in the mining industry, causing work time loss, injuries, and ......
Human activity recognition (HAR) for dense prediction is proven to be of good performance,but it relies on labeling ever......
It is common to fine-tune pre-trained word embeddings in text categorization.However,we find that fine-tuning does not g......
Language model pre-training has proven to be useful in learning universal language representations.As a state-of-the-art......
This paper puts forward theme analysis problem in order to automatically solve composition writing questions in Chinese ......
Multi-manufacturer drug identification based on near infrared spectroscopy and deep transfer learnin
Near infrared (NIR) spectrum analysis technology has outstanding advantages such as rapid, nondestructive, pollution-fre......
基于改进的深度残差网络(ResNet),提出更加适合肺部组织的计算断层扫描(CT)图像模式分类模型。为克服医学图像分析中可用数据集稀......
针对目前人物图像生成模型普遍存在糊化和纹理缺失等问题,提出一种融合特征反馈机制的姿态引导人物图像生成模型,该模型采用生成式......
针对小样本遥感影像场景数据集中地物多样性和分布复杂性引起的分类精度低下的问题,提出一种基于迁移学习的混合专家(TLMoE)分类模......
图像语义分割作为一种像素级分类技术,已应用于合成孔径雷达(SAR)图像的解译领域中。U-Net是一种端到端的图像语义分割网络,具有典......
In this paper,we propose a new visual tracking method in light of salience information and deep learning.Salience detect......
深度学习模型训练时需要大量的注释样本,但在医学领域注释数据难以获取。针对此问题,提出了一种结合部分注释数据的自监督学习算法......
针对基于深度学习的机载激光雷达(LiDAR)点云分类方法训练时间长、对样本数据需求量较大等问题,提出了一种整合迁移学习与全卷积神......
提出了一种结合深度神经网络和随机森林的手掌静脉分类新方法。利用预训练深度神经网络模型AlexNet提取掌脉特征,采用主成分分析法......
The analog photonics link (APL) is widely used in microwave photonics. However, in wideband and multi-carrier systems, t......
为了实现对复杂养殖场环境下奶牛个体的精准识别,针对SSD (single shot multibox detector)算法对重叠对象检测效果不好的问题,对S......
已有基于深度学习的机载激光雷达点云分类方法存在训练时间长、对样本数据需求量较大等问题,无法广泛应用于不同情况下的复杂场景......
针对现有方法在肺结节检测中准确率低及存在过拟合现象的问题,提出一种基于改进YOLACT模型的肺结节检测方法。在模型的主体结构上,......
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Predic
Background: Pharmacokinetic evaluation is one of the key processes in drug discovery and development....
