9 citations · 14 across the 4 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CV2021★ 9 cited
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Zhenyu Wang, Yali Li, Ye Guo +1
Semi-supervised learning aims to leverage a large amount of unlabeled data for performance boosting. Existing works primarily focus on image classification. In this paper, we delve…
cs.CV2021★ 5 cited
Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection
Zhenyu Wang, Yali Li, Ye Guo +2
In this paper, we delve into semi-supervised object detection where unlabeled images are leveraged to break through the upper bound of fully-supervised object detection models. Pre…