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	# PointRend: Image Segmentation as Rendering

	## Introduction

	<!-- [ALGORITHM] -->

	```
	@inproceedings{kirillov2020pointrend,
	title={Pointrend: Image segmentation as rendering},
	author={Kirillov, Alexander and Wu, Yuxin and He, Kaiming and Girshick, Ross},
	booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
	pages={9799--9808},
	year={2020}
	}
	```

	## Results and models

	### Cityscapes

	\| Method \| Backbone \| Crop Size \| Lr schd \| Mem (GB) \| Inf time (fps) \| mIoU \| mIoU(ms+flip) \| config \| download \|
	\| --------- \| -------- \| --------- \| ------: \| -------: \| -------------- \| ----: \| ------------- \| ------------------------------------------------------------------------------------------------------------------------------- \| -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- \|
	\| PointRend \| R-50 \| 512x1024 \| 80000 \| 3.1 \| 8.48 \| 76.47 \| 78.13 \| [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/point_rend/pointrend_r50_512x1024_80k_cityscapes.py) \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x1024_80k_cityscapes/pointrend_r50_512x1024_80k_cityscapes_20200711_015821-bb1ff523.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x1024_80k_cityscapes/pointrend_r50_512x1024_80k_cityscapes-20200715_214714.log.json) \|
	\| PointRend \| R-101 \| 512x1024 \| 80000 \| 4.2 \| 7.00 \| 78.30 \| 79.97 \| [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/point_rend/pointrend_r101_512x1024_80k_cityscapes.py) \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x1024_80k_cityscapes/pointrend_r101_512x1024_80k_cityscapes_20200711_170850-d0ca84be.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x1024_80k_cityscapes/pointrend_r101_512x1024_80k_cityscapes-20200715_214824.log.json) \|

	### ADE20K

	\| Method \| Backbone \| Crop Size \| Lr schd \| Mem (GB) \| Inf time (fps) \| mIoU \| mIoU(ms+flip) \| config \| download \|
	\| --------- \| -------- \| --------- \| ------: \| -------: \| -------------- \| ----: \| ------------- \| --------------------------------------------------------------------------------------------------------------------------- \| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- \|
	\| PointRend \| R-50 \| 512x512 \| 160000 \| 5.1 \| 17.31 \| 37.64 \| 39.17 \| [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/point_rend/pointrend_r50_512x512_160k_ade20k.py) \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x512_160k_ade20k/pointrend_r50_512x512_160k_ade20k_20200807_232644-ac3febf2.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x512_160k_ade20k/pointrend_r50_512x512_160k_ade20k-20200807_232644.log.json) \|
	\| PointRend \| R-101 \| 512x512 \| 160000 \| 6.1 \| 15.50 \| 40.02 \| 41.60 \| [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/point_rend/pointrend_r101_512x512_160k_ade20k.py) \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x512_160k_ade20k/pointrend_r101_512x512_160k_ade20k_20200808_030852-8834902a.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x512_160k_ade20k/pointrend_r101_512x512_160k_ade20k-20200808_030852.log.json) \|