Skip to content
/ cue Public
forked from ramdrop/cue

Implementation for the paper: Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings

License

Notifications You must be signed in to change notification settings

TACPSLab/cue

This branch is 1 commit ahead of ramdrop/cue:master.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

163c15e · Mar 20, 2023

History

6 Commits
Mar 13, 2023
Mar 13, 2023
Mar 13, 2023
Mar 19, 2023
Mar 14, 2023

Repository files navigation

(RA-L) Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings

CUE demo

We have named our proposed method CUE and demonstrated it in two tasks, 3D gemetric feature learning and 3D semantic segmentation. We organize the code in two directories to make it more readable:

If you find our work useful, please consider citing

@ARTICLE{10068211,
  author={Cai, Kaiwen and Lu, Chris Xiaoxuan and Huang, Xiaowei},
  journal={IEEE Robotics and Automation Letters}, 
  title={Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings}, 
  year={2023},
  volume={},
  number={},
  pages={1-8},
  doi={10.1109/LRA.2023.3256085}}

About

Implementation for the paper: Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 92.2%
  • Cuda 3.6%
  • C++ 2.8%
  • Shell 1.1%
  • Dockerfile 0.3%