17 citations · 53 across the 29 of their papers we have counts for
5 papers · 1 filter
Learning Efficient Unsupervised Satellite Image-based Building Damage Detection
Yiyun Zhang, Zijian Wang, Yadan Luo +2
Existing Building Damage Detection (BDD) methods always require labour-intensive pixel-level annotations of buildings and their conditions, hence largely limiting their application…
In Search of Lost Online Test-time Adaptation: A Survey
Zixin Wang, Yadan Luo, Liang Zheng +3
This article presents a comprehensive survey of online test-time adaptation (OTTA), focusing on effectively adapting machine learning models to distributionally different target da…
Open-CRB: Towards Open World Active Learning for 3D Object Detection
Zhuoxiao Chen, Yadan Luo, Zixin Wang +3
LiDAR-based 3D object detection has recently seen significant advancements through active learning (AL), attaining satisfactory performance by training on a small fraction of strat…
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error
Zixin Wang, Yadan Luo, Zhi Chen +2
The prevalence of domain adaptive semantic segmentation has prompted concerns regarding source domain data leakage, where private information from the source domain could inadverte…
Exploring Active 3D Object Detection from a Generalization Perspective
Yadan Luo, Zhuoxiao Chen, Zijian Wang +3
To alleviate the high annotation cost in LiDAR-based 3D object detection, active learning is a promising solution that learns to select only a small portion of unlabeled data to an…