108 citations · 119 across the 7 of their papers we have counts for
4 papers · 1 filter
Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint
Guanyu Cai, Lianghua He
Recent advances in unsupervised domain adaptation have seen considerable progress in semantic segmentation. Existing methods either align different domains with adversarial trainin…
Learning Smooth Representation for Unsupervised Domain Adaptation
Guanyu Cai, Lianghua He, Mengchu Zhou +2
Typical adversarial-training-based unsupervised domain adaptation methods are vulnerable when the source and target datasets are highly-complex or exhibit a large discrepancy betwe…
Virtual Conditional Generative Adversarial Networks
Haifeng Shi, Guanyu Cai, Yuqin Wang +2
When trained on multimodal image datasets, normal Generative Adversarial Networks (GANs) are usually outperformed by class-conditional GANs and ensemble GANs, but conditional GANs…
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks
Guanyu Cai, Yuqin Wang, Mengchu Zhou +1
Domain adaptation is widely used in learning problems lacking labels. Recent studies show that deep adversarial domain adaptation models can make markable improvements in performan…