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One Thing One Click

One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation (CVPR2021)

Code for the paper One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation, CVPR 2021, and One Thing One Click++: Self-Training for Weakly Supervised 3D Scene Understanding.

Authors: Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu

Update on April 16, 2023: One Thing One Click++ is on Arxiv, codes have been released.

Update on Jun 03, 2022: extend One-Thing-One-Click to instance segmentation. Please see the "instance_seg" folder.

Update on Jun 03, 2022: a new version on Scannet, achieves comparable performance on "cvpr2021_version". Please see the "scannet" folder.

Update on Dec 28, 2021: release the super-voxel generation, code and model on S3DIS. Please see the "s3dis" folder.

CVPR 2021 Version: Please see the "cvpr2021_version" folder.

Acknowledgement

This repo is built upon several repos, e.g., PointGrouop, SparseConvNet, spconv and ScanNet.

Contact

If you have any questions or suggestions about this repo, please feel free to contact me (liuzhengzhelzz@gmail.com).