164 citations · 445 across the 25 of their papers we have counts for
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cs.CV2023★ 1 cited
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Binhui Xie, Shuang Li, Qingju Guo +2
Active learning, a label-efficient paradigm, empowers models to interactively query an oracle for labeling new data. In the realm of LiDAR semantic segmentation, the challenges ste…
cs.LG2023
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method
Xiangwei Wang, Rui Han, Chi Harold Liu
The continuous changes in the world have resulted in the performance regression of neural networks. Therefore, continual learning (CL) area gradually attracts the attention of more…
cs.CV2023★ 12 cited
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Mixue Xie, Shuang Li, Rui Zhang +1
Active domain adaptation (DA) aims to maximally boost the model adaptation on a new target domain by actively selecting limited target data to annotate, whereas traditional active…