10 citations · 14 across the 3 of their papers we have counts for
4 papers
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation
Xueqing Deng, Yi Zhu, Yuxin Tian +1
Neural network-based semantic segmentation has achieved remarkable results when large amounts of annotated data are available, that is, in the supervised case. However, such data i…
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery
Xueqing Deng, Yi Zhu, Yuxin Tian +1
Land-cover classification using remote sensing imagery is an important Earth observation task. Recently, land cover classification has benefited from the development of fully conne…
Towards Good Practices in Self-supervised Representation Learning
Srikar Appalaraju, Yi Zhu, Yusheng Xie +1
Self-supervised representation learning has seen remarkable progress in the last few years. More recently, contrastive instance learning has shown impressive results compared to it…
Semi-supervised representation learning via dual autoencoders for domain adaptation
Shuai Yang, Hao Wang, Yuhong Zhang +3
Domain adaptation aims to exploit the knowledge in source domain to promote the learning tasks in target domain, which plays a critical role in real-world applications. Recently, l…