10 citations · 26 across the 8 of their papers we have counts for
3 papers · 1 filter
LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem
Shanshan Zhong, Wushao Wen, Jinghui Qin +2
In computer vision, the performance of deep neural networks (DNNs) is highly related to the feature extraction ability, i.e., the ability to recognize and focus on key pixel region…
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models
Shanshan Zhong, Zhongzhan Huang, Wushao Wen +2
Diffusion models, which have emerged to become popular text-to-image generation models, can produce high-quality and content-rich images guided by textual prompts. However, there a…
ASR: Attention-alike Structural Re-parameterization
Shanshan Zhong, Zhongzhan Huang, Wushao Wen +2
The structural re-parameterization (SRP) technique is a novel deep learning technique that achieves interconversion between different network architectures through equivalent param…