69 citations · 94 across the 4 of their papers we have counts for
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cs.CV2023★ 1 cited
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…
cs.CV2022
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…
cs.CV2021★ 24 cited
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…