6 citations · 14 across the 8 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CV2021★ 2 cited
Semi-supervised Domain Adaptation for Semantic Segmentation
Ying Chen, Xu Ouyang, Kaiyue Zhu +1
Deep learning approaches for semantic segmentation rely primarily on supervised learning approaches and require substantial efforts in producing pixel-level annotations. Further, s…
cs.LG2021★ 1 cited
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
Tianlong Chen, Zhenyu Zhang, Xu Ouyang +3
Batch normalization (BN) is a key facilitator and considered essential for state-of-the-art binary neural networks (BNN). However, the BN layer is costly to calculate and is typica…
cs.CV2021★ 6 cited
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation
Ying Chen, Xu Ouyang, Kaiyue Zhu +1
Semantic segmentation using convolutional neural networks (CNN) is a crucial component in image analysis. Training a CNN to perform semantic segmentation requires a large amount of…