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cs.CV2023
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data
Daoan Zhang, Yunhao Luo, Jianguo Zhang
We bring a new perspective to semi-supervised semantic segmentation by providing an analysis on the labeled and unlabeled distributions in training datasets. We first figure out th…
cs.CV2023
Distilling Efficient Vision Transformers from CNNs for Semantic Segmentation
Xu Zheng, Yunhao Luo, Pengyuan Zhou +1
In this paper, we tackle a new problem: how to transfer knowledge from the pre-trained cumbersome yet well-performed CNN-based model to learn a compact Vision Transformer (ViT)-bas…