SageMix

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

SageMix 최신버젼 다운로드

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# SageMix: Saliency-Guided Mixup for Point Clouds
Official Implementation (PyTorch) of SageMix, (NeurIPS 2022). ([OpenReview](https://openreview.net/forum?id=q-FRENiEP_d)) ([Arxiv](https://arxiv.org/abs/2210.06944))
> Sanghyeok Lee1*, Minkyu Jeon1*, Injae Kim1, Yunyang Xiong2, Hyunwoo J. Kim1†. 
> 1Korea University 2Meta Reality Labs

![PointWOLF_main](https://raw.githubusercontent.com/mlvlab/SageMix/master/assets/figure_main.jpg)

## Usage
- See [pointcloud](https://github.com/mlvlab/SageMix/tree/master/pointcloud) for point cloud processing.

## License
Licensed under [MIT License](https://github.com/mlvlab/SageMix/blob/master/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}
}
```

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