18 citations · 21 across the 4 of their papers we have counts for
4 papers
Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing
Yuang Liu, Zhiheng Qiu, Xiaokai Qin
Transformer has been applied in the field of computer vision due to its excellent performance in natural language processing, surpassing traditional convolutional neural networks a…
Dynamic Token-Pass Transformers for Semantic Segmentation
Yuang Liu, Qiang Zhou, Jing Wang +3
Vision transformers (ViT) usually extract features via forwarding all the tokens in the self-attention layers from top to toe. In this paper, we introduce dynamic token-pass vision…
LMSeg: Language-guided Multi-dataset Segmentation
Qiang Zhou, Yuang Liu, Chaohui Yu +3
It's a meaningful and attractive topic to build a general and inclusive segmentation model that can recognize more categories in various scenarios. A straightforward way is to comb…
Data-Free Knowledge Transfer: A Survey
Yuang Liu, Wei Zhang, Jun Wang +1
In the last decade, many deep learning models have been well trained and made a great success in various fields of machine intelligence, especially for computer vision and natural…