4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Zhuoran Yu, Yin Li, Yong Jae Lee
Recent state-of-the-art methods in imbalanced semi-supervised learning (SSL) rely on confidence-based pseudo-labeling with consistency regularization. To obtain high-quality pseudo…
cs.CV2022★ 4 cited
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
Zhuoran Yu, Yin Li, Yong Jae Lee
Recent state-of-the-art methods in semi-supervised learning (SSL) combine consistency regularization with confidence-based pseudo-labeling. To obtain high-quality pseudo-labels, a…
cs.CV2019★ 1 cited
You Only Look & Listen Once: Towards Fast and Accurate Visual Grounding
Chaorui Deng, Qi Wu, Guanghui Xu +4
Visual Grounding (VG) aims to locate the most relevant region in an image, based on a flexible natural language query but not a pre-defined label, thus it can be a more useful tech…