most citedAutomatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net

1 citations · 1 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2022

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…

cs.LG2021

Deep Least Squares Alignment for Unsupervised Domain Adaptation

Youshan Zhang, Brian D. Davison

Unsupervised domain adaptation leverages rich information from a labeled source domain to model an unlabeled target domain. Existing methods attempt to align the cross-domain distr…

cs.CV20211 cited

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…

cs.CV2021

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…

cs.CV2021

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…

cs.IR2021

WTR: A Test Collection for Web Table Retrieval

Zhiyu Chen, Shuo Zhang, Brian D. Davison

We describe the development, characteristics and availability of a test collection for the task of Web table retrieval, which uses a large-scale Web Table Corpora extracted from th…