343 citations · 675 across the 21 of their papers we have counts for
24 papers · 1 filter
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…
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…
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…
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…
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…
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…