2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
Haoyu Xie, Changqi Wang, Jian Zhao +4
Tremendous breakthroughs have been developed in Semi-Supervised Semantic Segmentation (S4) through contrastive learning. However, due to limited annotations, the guidance on unlabe…
cs.CV2023★ 2 cited
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation
Changqi Wang, Haoyu Xie, Yuhui Yuan +2
Semi-Supervised Semantic Segmentation (S4) aims to train a segmentation model with limited labeled images and a substantial volume of unlabeled images. To improve the robustness of…
cs.CV2022★ 1 cited
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Haoyu Xie, Changqi Wang, Mingkai Zheng +4
Recent breakthroughs in semi-supervised semantic segmentation have been developed through contrastive learning. In prevalent pixel-wise contrastive learning solutions, the model ma…