14 citations · 41 across the 8 of their papers we have counts for
4 papers · 1 filter
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
Xiaowei Yu, Zhe Huang, Zao Zhang
Unsupervised domain adaptation (UDA) aims to leverage the knowledge learned from labeled source domains to improve performance on the unlabeled target domains. While Convolutional…
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
Zhe Huang, Xiaowei Yu, Dajiang Zhu +1
Semi-supervised learning (SSL) seeks to enhance task performance by training on both labeled and unlabeled data. Mainstream SSL image classification methods mostly optimize a loss…
Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis
Zhe Huang, Xiaowei Yu, Benjamin S. Wessler +1
Automated interpretation of ultrasound imaging of the heart (echocardiograms) could improve the detection and treatment of aortic stenosis (AS), a deadly heart disease. However, ex…
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT
Zhenxiang Xiao, Yuzhong Chen, Lu Zhang +14
Prompts have been proven to play a crucial role in large language models, and in recent years, vision models have also been using prompts to improve scalability for multiple downst…