1 citations · 2 across the 4 of their papers we have counts for
4 papers
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher
Yong Guo, Shulian Zhang, Haolin Pan +3
Knowledge distillation aims to transfer knowledge from a large teacher model to a compact student counterpart, often coming with a significant performance gap between them. We find…
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation
Haolin Pan, Yong Guo, Mianjie Yu +1
Real-world data often follows a long-tailed distribution, where a few head classes occupy most of the data and a large number of tail classes only contain very limited samples. In…
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…
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…