53 citations · 65 across the 3 of their papers we have counts for
4 papers
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection
Ganlong Zhao, Guanbin Li, Ruijia Xu +1
Object detectors are usually trained with large amount of labeled data, which is expensive and labor-intensive. Pre-trained detectors applied to unlabeled dataset always suffer fro…
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
Jihan Yang, Ruijia Xu, Ruiyu Li +4
We focus on Unsupervised Domain Adaptation (UDA) for the task of semantic segmentation. Recently, adversarial alignment has been widely adopted to match the marginal distribution o…
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
Ruijia Xu, Ziliang Chen, Wangmeng Zuo +2
Unsupervised domain adaptation (UDA) conventionally assumes labeled source samples coming from a single underlying source distribution. Whereas in practical scenario, labeled data…
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
Zhouxia Wang, Tianshui Chen, Guanbin Li +2
This paper proposes a novel deep architecture to address multi-label image recognition, a fundamental and practical task towards general visual understanding. Current solutions for…