1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Qinyi Deng, Yong Guo, Zhibang Yang +2
Semi-supervised learning (SSL) has achieved great success in leveraging a large amount of unlabeled data to learn a promising classifier. A popular approach is pseudo-labeling that…
cs.CV2022★ 1 cited
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Haolin Pan, Yong Guo, Qinyi Deng +3
Self-supervised learning (SSL) has achieved remarkable performance in pretraining the models that can be further used in downstream tasks via fine-tuning. However, these self-super…