3 papers
cs.CV2025
Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration
Fanhu Zeng, Deli Yu, Zhenglun Kong +1
Vision transformers have been widely explored in various vision tasks. Due to heavy computational cost, much interest has aroused for compressing vision transformer dynamically in…
cs.CV2023
Accelerating Vision Transformers Based on Heterogeneous Attention Patterns
Deli Yu, Teng Xi, Jianwei Li +7
Recently, Vision Transformers (ViTs) have attracted a lot of attention in the field of computer vision. Generally, the powerful representative capacity of ViTs mainly benefits from…
cs.CV2022
UFO: Unified Feature Optimization
Teng Xi, Yifan Sun, Deli Yu +13
This paper proposes a novel Unified Feature Optimization (UFO) paradigm for training and deploying deep models under real-world and large-scale scenarios, which requires a collecti…