mlvlab / SageMix

Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

SageMix: Saliency-Guided Mixup for Point Clouds

Official Implementation (PyTorch) of SageMix, (NeurIPS 2022). (OpenReview) (Arxiv)

Sanghyeok Lee1*, Minkyu Jeon1*, Injae Kim1, Yunyang Xiong2, Hyunwoo J. Kim1†.
1Korea University 2Meta Reality Labs

PointWOLF_main

Usage

License

Licensed under MIT License

Copyright (c) 2022 MLV Lab (Machine Learning and Vision Lab at Korea University)

Citation

If you find this code useful for your work, please consider citing:

@InProceedings{lee2022sagemix,
    title     = {SageMix: Saliency-Guided Mixup for Point Clouds},
    author    = {Sanghyeok Lee and 
                 Minkyu Jeon and
                 Injae Kim and 
                 Yunyang Xiong and 
                 Hyunwoo J. Kim},
    booktitle = {Advances in Neural Information Processing Systems},
    year      = {2022}
}

About

Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022

License:MIT License


Languages

Language:Python 69.6%Language:Cuda 26.9%Language:C++ 3.5%