24 citations · 24 across the 2 of their papers we have counts for
2 papers
cs.CV2023
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation
Amirreza Shaban, JoonHo Lee, Sanghun Jung +2
We introduce LiDAR-UDA, a novel two-stage self-training-based Unsupervised Domain Adaptation (UDA) method for LiDAR segmentation. Existing self-training methods use a model trained…
cs.LG2019★ 24 cited
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
Kumar Shridhar, Joonho Lee, Hideaki Hayashi +6
Activation functions play an important role in training artificial neural networks. The majority of currently used activation functions are deterministic in nature, with their fixe…