17 citations · 21 across the 5 of their papers we have counts for
5 papers
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Jiacheng Li, Longhui Wei, ZongYuan Zhan +4
Generative transformers have shown their superiority in synthesizing high-fidelity and high-resolution images, such as good diversity and training stability. However, they suffer f…
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi +3
In federated learning (FL), model performance typically suffers from client drift induced by data heterogeneity, and mainstream works focus on correcting client drift. We propose a…
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation
Ke Zhang, Sihong Chen, Qi Ju +3
With the increase in the number of image data and the lack of corresponding labels, weakly supervised learning has drawn a lot of attention recently in computer vision tasks, espec…
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification
Xin He, Guohao Ying, Jiyong Zhang +1
The COVID-19 pandemic has threatened global health. Many studies have applied deep convolutional neural networks (CNN) to recognize COVID-19 based on chest 3D computed tomography (…
Generative Model for Material Experiments Based on Prior Knowledge and Attention Mechanism
Mincong Luo, Xinfu He, Li Liu
Material irradiation experiment is dangerous and complex, thus it requires those with a vast advanced expertise to process the images and data manually. In this paper, we propose a…