25 citations · 87 across the 23 of their papers we have counts for
15 papers · 1 filter
Deep Feature Registration for Unsupervised Domain Adaptation
Youshan Zhang, Brian D. Davison
While unsupervised domain adaptation has been explored to leverage the knowledge from a labeled source domain to an unlabeled target domain, existing methods focus on the distribut…
Stall Number Detection of Cow Teats Key Frames
Youshan Zhang
In this paper, we present a small cow stall number dataset named CowStallNumbers, which is extracted from cow teat videos with the goal of advancing cow stall number detection. Thi…
A Survey of Unsupervised Domain Adaptation for Visual Recognition
Youshan Zhang
While huge volumes of unlabeled data are generated and made available in many domains, the demand for automated understanding of visual data is higher than ever before. Most existi…
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net
Youshan Zhang, Brian D. Davison, Vivien W. Talghader +3
Transmission electron microscopy (TEM) is one of the primary tools to show microstructural characterization of materials as well as film thickness. However, manual determination of…
Enhanced Separable Disentanglement for Unsupervised Domain Adaptation
Youshan Zhang, Brian D. Davison
Domain adaptation aims to mitigate the domain gap when transferring knowledge from an existing labeled domain to a new domain. However, existing disentanglement-based methods do no…
Correlated Adversarial Joint Discrepancy Adaptation Network
Youshan Zhang, Brian D. Davison
Domain adaptation aims to mitigate the domain shift problem when transferring knowledge from one domain into another similar but different domain. However, most existing works rely…
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation
Youshan Zhang, Brian D. Davison
Unsupervised Domain adaptation is an effective method in addressing the domain shift issue when transferring knowledge from an existing richly labeled domain to a new domain. Exist…
Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation
Youshan Zhang, Brian D. Davison
Domain adaptation (DA) mitigates the domain shift problem when transferring knowledge from one annotated domain to another similar but different unlabeled domain. However, existing…
Adversarial Regression Learning for Bone Age Estimation
Youshan Zhang, Brian D. Davison
Estimation of bone age from hand radiographs is essential to determine skeletal age in diagnosing endocrine disorders and depicting the growth status of children. However, existing…
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge
Youshan Zhang, Brian D. Davison
Domain adaptation is one of the most crucial techniques to mitigate the domain shift problem, which exists when transferring knowledge from an abundant labeled sourced domain to a…
Bayesian Geodesic Regression on Riemannian Manifolds
Youshan Zhang
Geodesic regression has been proposed for fitting the geodesic curve. However, it cannot automatically choose the dimensionality of data. In this paper, we develop a Bayesian geode…
Impact of ImageNet Model Selection on Domain Adaptation
Youshan Zhang, Brian D. Davison
Deep neural networks are widely used in image classification problems. However, little work addresses how features from different deep neural networks affect the domain adaptation…
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet
Youshan Zhang, Brian D. Davison
Deep neural networks have been widely used in computer vision. There are several well trained deep neural networks for the ImageNet classification challenge, which has played a sig…
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification
Youshan Zhang, Jon-Patrick Allem, Jennifer B. Unger +1
Background: Instagram, with millions of posts per day, can be used to inform public health surveillance targets and policies. However, current research relying on image-based data…
A Regressive Convolution Neural network and Support Vector Regression Model for Electricity Consumption Forecasting
Youshan Zhang, Qi Li
Electricity consumption forecasting has important implications for the mineral companies on guiding quarterly work, normal power system operation, and the management. However, elec…