Skip to content

UASOPI : Uncertainty-Aware Self-supervised Occupancy Prediction for Interpretability

Notifications You must be signed in to change notification settings

HAMA-DL-dev/UASOPI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

34 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

UASOPI : Uncertainty-Aware Self-supervised Occupancy Prediction for Interpretability

Changelog

[24.06.15] Upload only the core part of the entire code. The rest will be released later.

[24.05.02] Create the repository

Dependencies

Our work depends on packages and libraries like below

Please note that there exist version dependency between them

pytorch-lightning         1.9.3
torch                     2.0.0+cu118
torch-cluster             1.6.3+pt20cu118
torch-geometric           2.2.0
torch-scatter             2.1.2+pt20cu118
torch-sparse              0.6.18+pt20cu118
torch-spline-conv         1.2.2+pt20cu118
torchaudio                2.0.1+cu118
torchmetrics              0.11.4
torchsparse               1.4.0
torchvision               0.15.1+cu118

For more information including environment setup, please refer to documents

Model Zoo

TBA TBA TBA
TBA
TBA
TBA

Acknowledgement

This repositoy was highly moviated by ALSO: Automotive Lidar Self-supervision by Occupancy estimation

Our work would NOT have been possible without many community resources and repositories including belows

Also, there is Research Blog that contains what I recorded while conducting this work. This page is written to Korean and is for students who study the "Uncertainty Quantification" (AUE8091). It will be opened after the review process mentioned in my profile is completed

About

UASOPI : Uncertainty-Aware Self-supervised Occupancy Prediction for Interpretability

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published