2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Yu Wang, Pengchong Qiao, Chang Liu +3
Recent advances in robust semi-supervised learning (SSL) typically filter out-of-distribution (OOD) information at the sample level. We argue that an overlooked problem of robust S…
cs.CV2022★ 2 cited
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation
Pengchong Qiao, Zhidan Wei, Yu Wang +6
Semi-supervised learning (SSL) essentially pursues class boundary exploration with less dependence on human annotations. Although typical attempts focus on ameliorating the inevita…