1 code implementation • ICCV 2023 • Pan Du, Suyun Zhao, Zisen Sheng, Cuiping Li, Hong Chen
Specifically, WAD captures adaptive weights and high-quality pseudo labels to target instances by exploring point mutual information (PMI) in representation space to maximize the role of unlabeled data and filter unknown categories.
no code implementations • 11 Apr 2023 • Yixuan Liu, Suyun Zhao, Li Xiong, YuHan Liu, Hong Chen
In this work, a general framework (APES) is built up to strengthen model privacy under personalized local privacy by leveraging the privacy amplification effect of the shuffle model.
no code implementations • CVPR 2023 • Jinlong Kang, Liyuan Shang, Suyun Zhao, Hong Chen, Cuiping Li, Zeyu Gan
In many real scenarios, data are often divided into a handful of artificial super categories in terms of expert knowledge rather than the representations of images.
no code implementations • 1 Nov 2022 • Mengdie Wang, Liyuan Shang, Suyun Zhao, Yiming Wang, Hong Chen, Cuiping Li, XiZhao Wang
Accordingly, the query results, guided by oracles with distinctive demands, may drive the OCC's clustering results in a desired orientation.
1 code implementation • 7 Jan 2022 • Suyun Zhao, Zhigang Dai, XiZhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li
First, a rule induction method based on consistence degree, called Consistence-based Value Reduction (CVR), is proposed and used as basis to accelerate.
no code implementations • ICCV 2021 • Pan Du, Suyun Zhao, Hui Chen, Shuwen Chai, Hong Chen, Cuiping Li
However, its performance deteriorates under class distribution mismatch, wherein the unlabeled data contain many samples out of the class distribution of labeled data.