activity
20222024
most citedSemi-Supervised Semantic Segmentation with Cross Teacher Training

28 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20247 cited

Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation

Hui Xiao, Yuting Hong, Li Dong +5

Semi-supervised semantic segmentation relieves the reliance on large-scale labeled data by leveraging unlabeled data. Recent semi-supervised semantic segmentation approaches mainly…

cs.CR20231 cited

Facial Data Minimization: Shallow Model as Your Privacy Filter

Yuwen Pu, Jiahao Chen, Jiayu Pan +4

Face recognition service has been used in many fields and brings much convenience to people. However, once the user's facial data is transmitted to a service provider, the user wil…

cs.CV20235 cited

Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition

JiaCheng Deng, Li Dong, Jiahao Chen +5

Optical Character Recognition (OCR) enables automatic text extraction from scanned or digitized text images, but it also makes it easy to pirate valuable or sensitive text from the…

cs.CV202228 cited

Semi-Supervised Semantic Segmentation with Cross Teacher Training

Hui Xiao, Li Dong, Kangkang Song +4

Convolutional neural networks can achieve remarkable performance in semantic segmentation tasks. However, such neural network approaches heavily rely on costly pixel-level annotati…

cs.SD2022

SA: Sliding attack for synthetic speech detection with resistance to clipping and self-splicing

Deng JiaCheng, Dong Li, Yan Diqun +2

Deep neural networks are vulnerable to adversarial examples that mislead models with imperceptible perturbations. In audio, although adversarial examples have achieved incredible a…