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Window-Normalization

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# [Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities](https://doi.org/10.48550/arXiv.2212.02287)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/window-normalization-enhancing-point-cloud/semantic-segmentation-on-s3dis)](https://paperswithcode.com/sota/semantic-segmentation-on-s3dis?p=window-normalization-enhancing-point-cloud)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/window-normalization-enhancing-point-cloud/semantic-segmentation-on-s3dis-area5)](https://paperswithcode.com/sota/semantic-segmentation-on-s3dis-area5?p=window-normalization-enhancing-point-cloud)

### S3DIS
|            Methods          | Area-5 mIoU/ mAcc/ OA | 6-fold mIoU/ mAcc/ OA|  Params (M) |
|:---------------------------:|:---------------------:|:--------------------:|:-----------:|
|    PAGWN+PointTransformer   |   71.4/ 77.9/ 91.1    |    74.1/ 82.5/ 90.2  |     8.0     |
| PAGWN+StratifiedTransformer |   72.2/ 78.2/ 91.4    |    77.6/ 85.8/ 91.7  |     8.2     |

```tex
@inproceedings{Wang2022WindowNE,
  title={Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities},
  author={Qi Wang and Shengge Shi and Jiahui Li and Wuming Jiang and Xiangde Zhang},
  year={2022},
  doi={10.48550/arXiv.2212.02287}
}
```

The codes will be released soon.

Window-Normalization

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