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Memory Defense: More Robust Classification via a Memory-Masking Autoencoder
Eashan Adhikarla, Dan Luo, Brian D. Davison
Many deep neural networks are susceptible to minute perturbations of images that have been carefully crafted to cause misclassification. Ideally, a robust classifier would be immun…
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…