47 citations · 86 across the 5 of their papers we have counts for
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cs.CV2024★ 7 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.CV2023
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification
Hao Xu, Hui Xiao, Huazheng Hao +3
Semi-supervised learning frameworks usually adopt mutual learning approaches with multiple submodels to learn from different perspectives. To avoid transferring erroneous pseudo la…
cs.CV2022★ 28 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…