4 citations · 6 across the 2 of their papers we have counts for
4 papers · 1 filter
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning
Puzuo Wang, Wei Yao, Jie Shao
Reliance on vast annotations to achieve leading performance severely restricts the practicality of large-scale point cloud semantic segmentation. For the purpose of reducing data a…
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
Peizhao Li, Pu Wang, Karl Berntorp +1
We consider the object recognition problem in autonomous driving using automotive radar sensors. Comparing to Lidar sensors, radar is cost-effective and robust in all-weather condi…
A new weakly supervised approach for ALS point cloud semantic segmentation
Puzuo Wang, Wei Yao
While there are novel point cloud semantic segmentation schemes that continuously surpass state-of-the-art results, the success of learning an effective model usually rely on the a…
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation
Puzuo Wang, Wei Yao
Competitive point cloud semantic segmentation results usually rely on a large amount of labeled data. However, data annotation is a time-consuming and labor-intensive task, particu…