69 citations · 94 across the 4 of their papers we have counts for
4 papers
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuang Zhu, Kebin Liu, Wenqi Tang +3
The divergence between labeled training data and unlabeled testing data is a significant challenge for recent deep learning models. Unsupervised domain adaptation (UDA) attempts to…
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels
Shengjie Liu, Chuang Zhu, Wenqi Tang
Unsupervised domain adaptation (UDA) for semantic segmentation addresses the cross-domain problem with fine source domain labels. However, the acquisition of semantic labels has al…
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides
Feng Xu, Chuang Zhu, Wenqi Tang +7
Objectives: To develop and validate a deep learning (DL)-based primary tumor biopsy signature for predicting axillary lymph node (ALN) metastasis preoperatively in early breast can…
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Xinyu Jia, Chuang Zhu, Minzhen Li +3
It is very challenging for various visual tasks such as image fusion, pedestrian detection and image-to-image translation in low light conditions due to the loss of effective targe…