9 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 8 cited
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Yuting Gao, Jia-Xin Zhuang, Shaohui Lin +4
While self-supervised representation learning (SSL) has received widespread attention from the community, recent research argue that its performance will suffer a cliff fall when t…
cs.CV2021★ 4 cited
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
Huixiang Luo, Hao Cheng, Fanxu Meng +4
Pseudo-labeling (PL) and Data Augmentation-based Consistency Training (DACT) are two approaches widely used in Semi-Supervised Learning (SSL) methods. These methods exhibit great p…
cs.CV2020★ 9 cited
Filter Grafting for Deep Neural Networks
Fanxu Meng, Hao Cheng, Ke Li +4
This paper proposes a new learning paradigm called filter grafting, which aims to improve the representation capability of Deep Neural Networks (DNNs). The motivation is that DNNs…