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20182023
most citedMaximum Density Divergence for Domain Adaptation

343 citations · 675 across the 21 of their papers we have counts for

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24 papers · 1 filter

cs.CV2023

iBARLE: imBalance-Aware Room Layout Estimation

Taotao Jing, Lichen Wang, Naji Khosravan +4

Room layout estimation predicts layouts from a single panorama. It requires datasets with large-scale and diverse room shapes to train the models. However, there are significant im…

cs.CV2023

Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation

Janet Wang, Yunbei Zhang, Zhengming Ding +1

The development of reliable and fair diagnostic systems is often constrained by the scarcity of labeled data. To address this challenge, our work explores the feasibility of unsupe…

cs.CV2023

IDA: Informed Domain Adaptive Semantic Segmentation

Zheng Chen, Zhengming Ding, Jason M. Gregory +1

Mixup-based data augmentation has been validated to be a critical stage in the self-training framework for unsupervised domain adaptive semantic segmentation (UDA-SS), which aims t…

cs.CV2023

Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation

Wenxiao Xiao, Zhengming Ding, Hongfu Liu

Many research efforts have been committed to unsupervised domain adaptation (DA) problems that transfer knowledge learned from a labeled source domain to an unlabeled target domain…

cs.CV20222 cited

Learnable Visual Words for Interpretable Image Recognition

Wenxiao Xiao, Zhengming Ding, Hongfu Liu

To interpret deep models' predictions, attention-based visual cues are widely used in addressing \textit{why} deep models make such predictions. Beyond that, the current research c…

cs.CV2022

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation

Wenju Zhang, Xiang Zhang, Qing Liao +5

Nuclear norm maximization has shown the power to enhance the transferability of unsupervised domain adaptation model (UDA) in an empirical scheme. In this paper, we identify a new…