4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
Augmented Shortcuts for Vision Transformers
Yehui Tang, Kai Han, Chang Xu +4
Transformer models have achieved great progress on computer vision tasks recently. The rapid development of vision transformers is mainly contributed by their high representation a…
cs.CV2021★ 4 cited
Manifold Regularized Dynamic Network Pruning
Yehui Tang, Yunhe Wang, Yixing Xu +4
Neural network pruning is an essential approach for reducing the computational complexity of deep models so that they can be well deployed on resource-limited devices. Compared wit…
cs.CV2020
Pre-Trained Image Processing Transformer
Hanting Chen, Yunhe Wang, Tianyu Guo +7
As the computing power of modern hardware is increasing strongly, pre-trained deep learning models (e.g., BERT, GPT-3) learned on large-scale datasets have shown their effectivenes…