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	# Unified Perceptual Parsing for Scene Understanding

	## Introduction

	[ALGORITHM]

	```latex
	@inproceedings{xiao2018unified,
	title={Unified perceptual parsing for scene understanding},
	author={Xiao, Tete and Liu, Yingcheng and Zhou, Bolei and Jiang, Yuning and Sun, Jian},
	booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
	pages={418--434},
	year={2018}
	}
	```

	## Results and models

	### Cityscapes

	\| Method \| Backbone \| Crop Size \| Lr schd \| Mem (GB) \| Inf time (fps) \| mIoU \| mIoU(ms+flip) \| download \|
	\|---------\|----------\|-----------\|--------:\|----------\|----------------\|------:\|--------------:\|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\|
	\| UPerNet \| R-50 \| 512x1024 \| 40000 \| 6.4 \| 4.25 \| 77.10 \| 78.37 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x1024_40k_cityscapes/upernet_r50_512x1024_40k_cityscapes_20200605_094827-aa54cb54.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x1024_40k_cityscapes/upernet_r50_512x1024_40k_cityscapes_20200605_094827.log.json) \|
	\| UPerNet \| R-101 \| 512x1024 \| 40000 \| 7.4 \| 3.79 \| 78.69 \| 80.11 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x1024_40k_cityscapes/upernet_r101_512x1024_40k_cityscapes_20200605_094933-ebce3b10.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x1024_40k_cityscapes/upernet_r101_512x1024_40k_cityscapes_20200605_094933.log.json) \|
	\| UPerNet \| R-50 \| 769x769 \| 40000 \| 7.2 \| 1.76 \| 77.98 \| 79.70 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_769x769_40k_cityscapes/upernet_r50_769x769_40k_cityscapes_20200530_033048-92d21539.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_769x769_40k_cityscapes/upernet_r50_769x769_40k_cityscapes_20200530_033048.log.json) \|
	\| UPerNet \| R-101 \| 769x769 \| 40000 \| 8.4 \| 1.56 \| 79.03 \| 80.77 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_769x769_40k_cityscapes/upernet_r101_769x769_40k_cityscapes_20200530_040819-83c95d01.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_769x769_40k_cityscapes/upernet_r101_769x769_40k_cityscapes_20200530_040819.log.json) \|
	\| UPerNet \| R-50 \| 512x1024 \| 80000 \| - \| - \| 78.19 \| 79.19 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x1024_80k_cityscapes/upernet_r50_512x1024_80k_cityscapes_20200607_052207-848beca8.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x1024_80k_cityscapes/upernet_r50_512x1024_80k_cityscapes_20200607_052207.log.json) \|
	\| UPerNet \| R-101 \| 512x1024 \| 80000 \| - \| - \| 79.40 \| 80.46 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x1024_80k_cityscapes/upernet_r101_512x1024_80k_cityscapes_20200607_002403-f05f2345.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x1024_80k_cityscapes/upernet_r101_512x1024_80k_cityscapes_20200607_002403.log.json) \|
	\| UPerNet \| R-50 \| 769x769 \| 80000 \| - \| - \| 79.39 \| 80.92 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_769x769_80k_cityscapes/upernet_r50_769x769_80k_cityscapes_20200607_005107-82ae7d15.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_769x769_80k_cityscapes/upernet_r50_769x769_80k_cityscapes_20200607_005107.log.json) \|
	\| UPerNet \| R-101 \| 769x769 \| 80000 \| - \| - \| 80.10 \| 81.49 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_769x769_80k_cityscapes/upernet_r101_769x769_80k_cityscapes_20200607_001014-082fc334.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_769x769_80k_cityscapes/upernet_r101_769x769_80k_cityscapes_20200607_001014.log.json) \|

	### ADE20K

	\| Method \| Backbone \| Crop Size \| Lr schd \| Mem (GB) \| Inf time (fps) \| mIoU \| mIoU(ms+flip) \| download \|
	\|---------\|----------\|-----------\|--------:\|----------\|----------------\|------:\|--------------:\|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\|
	\| UPerNet \| R-50 \| 512x512 \| 80000 \| 8.1 \| 23.40 \| 40.70 \| 41.81 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_80k_ade20k/upernet_r50_512x512_80k_ade20k_20200614_144127-ecc8377b.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_80k_ade20k/upernet_r50_512x512_80k_ade20k_20200614_144127.log.json) \|
	\| UPerNet \| R-101 \| 512x512 \| 80000 \| 9.1 \| 20.34 \| 42.91 \| 43.96 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_80k_ade20k/upernet_r101_512x512_80k_ade20k_20200614_185117-32e4db94.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_80k_ade20k/upernet_r101_512x512_80k_ade20k_20200614_185117.log.json) \|
	\| UPerNet \| R-50 \| 512x512 \| 160000 \| - \| - \| 42.05 \| 42.78 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_160k_ade20k/upernet_r50_512x512_160k_ade20k_20200615_184328-8534de8d.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_160k_ade20k/upernet_r50_512x512_160k_ade20k_20200615_184328.log.json) \|
	\| UPerNet \| R-101 \| 512x512 \| 160000 \| - \| - \| 43.82 \| 44.85 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_160k_ade20k/upernet_r101_512x512_160k_ade20k_20200615_161951-91b32684.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_160k_ade20k/upernet_r101_512x512_160k_ade20k_20200615_161951.log.json) \|

	### Pascal VOC 2012 + Aug

	\| Method \| Backbone \| Crop Size \| Lr schd \| Mem (GB) \| Inf time (fps) \| mIoU \| mIoU(ms+flip) \| download \|
	\|---------\|----------\|-----------\|--------:\|----------\|----------------\|------:\|--------------:\|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\|
	\| UPerNet \| R-50 \| 512x512 \| 20000 \| 6.4 \| 23.17 \| 74.82 \| 76.35 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_20k_voc12aug/upernet_r50_512x512_20k_voc12aug_20200617_165330-5b5890a7.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_20k_voc12aug/upernet_r50_512x512_20k_voc12aug_20200617_165330.log.json) \|
	\| UPerNet \| R-101 \| 512x512 \| 20000 \| 7.5 \| 19.98 \| 77.10 \| 78.29 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_20k_voc12aug/upernet_r101_512x512_20k_voc12aug_20200617_165629-f14e7f27.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_20k_voc12aug/upernet_r101_512x512_20k_voc12aug_20200617_165629.log.json) \|
	\| UPerNet \| R-50 \| 512x512 \| 40000 \| - \| - \| 75.92 \| 77.44 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_40k_voc12aug/upernet_r50_512x512_40k_voc12aug_20200613_162257-ca9bcc6b.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_40k_voc12aug/upernet_r50_512x512_40k_voc12aug_20200613_162257.log.json) \|
	\| UPerNet \| R-101 \| 512x512 \| 40000 \| - \| - \| 77.43 \| 78.56 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_40k_voc12aug/upernet_r101_512x512_40k_voc12aug_20200613_163549-e26476ac.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_40k_voc12aug/upernet_r101_512x512_40k_voc12aug_20200613_163549.log.json) \|

	# Unified Perceptual Parsing for Scene Understanding

	## Introduction

	[ALGORITHM]

	```latex
	@inproceedings{xiao2018unified,
	title={Unified perceptual parsing for scene understanding},
	author={Xiao, Tete and Liu, Yingcheng and Zhou, Bolei and Jiang, Yuning and Sun, Jian},
	booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
	pages={418--434},
	year={2018}
	}
	```

	## Results and models

	### Cityscapes

	\| Method \| Backbone \| Crop Size \| Lr schd \| Mem (GB) \| Inf time (fps) \| mIoU \| mIoU(ms+flip) \| download \|
	\|---------\|----------\|-----------\|--------:\|----------\|----------------\|------:\|--------------:\|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\|
	\| UPerNet \| R-50 \| 512x1024 \| 40000 \| 6.4 \| 4.25 \| 77.10 \| 78.37 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x1024_40k_cityscapes/upernet_r50_512x1024_40k_cityscapes_20200605_094827-aa54cb54.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x1024_40k_cityscapes/upernet_r50_512x1024_40k_cityscapes_20200605_094827.log.json) \|
	\| UPerNet \| R-101 \| 512x1024 \| 40000 \| 7.4 \| 3.79 \| 78.69 \| 80.11 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x1024_40k_cityscapes/upernet_r101_512x1024_40k_cityscapes_20200605_094933-ebce3b10.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x1024_40k_cityscapes/upernet_r101_512x1024_40k_cityscapes_20200605_094933.log.json) \|
	\| UPerNet \| R-50 \| 769x769 \| 40000 \| 7.2 \| 1.76 \| 77.98 \| 79.70 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_769x769_40k_cityscapes/upernet_r50_769x769_40k_cityscapes_20200530_033048-92d21539.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_769x769_40k_cityscapes/upernet_r50_769x769_40k_cityscapes_20200530_033048.log.json) \|
	\| UPerNet \| R-101 \| 769x769 \| 40000 \| 8.4 \| 1.56 \| 79.03 \| 80.77 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_769x769_40k_cityscapes/upernet_r101_769x769_40k_cityscapes_20200530_040819-83c95d01.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_769x769_40k_cityscapes/upernet_r101_769x769_40k_cityscapes_20200530_040819.log.json) \|
	\| UPerNet \| R-50 \| 512x1024 \| 80000 \| - \| - \| 78.19 \| 79.19 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x1024_80k_cityscapes/upernet_r50_512x1024_80k_cityscapes_20200607_052207-848beca8.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x1024_80k_cityscapes/upernet_r50_512x1024_80k_cityscapes_20200607_052207.log.json) \|
	\| UPerNet \| R-101 \| 512x1024 \| 80000 \| - \| - \| 79.40 \| 80.46 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x1024_80k_cityscapes/upernet_r101_512x1024_80k_cityscapes_20200607_002403-f05f2345.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x1024_80k_cityscapes/upernet_r101_512x1024_80k_cityscapes_20200607_002403.log.json) \|
	\| UPerNet \| R-50 \| 769x769 \| 80000 \| - \| - \| 79.39 \| 80.92 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_769x769_80k_cityscapes/upernet_r50_769x769_80k_cityscapes_20200607_005107-82ae7d15.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_769x769_80k_cityscapes/upernet_r50_769x769_80k_cityscapes_20200607_005107.log.json) \|
	\| UPerNet \| R-101 \| 769x769 \| 80000 \| - \| - \| 80.10 \| 81.49 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_769x769_80k_cityscapes/upernet_r101_769x769_80k_cityscapes_20200607_001014-082fc334.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_769x769_80k_cityscapes/upernet_r101_769x769_80k_cityscapes_20200607_001014.log.json) \|

	### ADE20K

	\| Method \| Backbone \| Crop Size \| Lr schd \| Mem (GB) \| Inf time (fps) \| mIoU \| mIoU(ms+flip) \| download \|
	\|---------\|----------\|-----------\|--------:\|----------\|----------------\|------:\|--------------:\|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\|
	\| UPerNet \| R-50 \| 512x512 \| 80000 \| 8.1 \| 23.40 \| 40.70 \| 41.81 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_80k_ade20k/upernet_r50_512x512_80k_ade20k_20200614_144127-ecc8377b.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_80k_ade20k/upernet_r50_512x512_80k_ade20k_20200614_144127.log.json) \|
	\| UPerNet \| R-101 \| 512x512 \| 80000 \| 9.1 \| 20.34 \| 42.91 \| 43.96 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_80k_ade20k/upernet_r101_512x512_80k_ade20k_20200614_185117-32e4db94.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_80k_ade20k/upernet_r101_512x512_80k_ade20k_20200614_185117.log.json) \|
	\| UPerNet \| R-50 \| 512x512 \| 160000 \| - \| - \| 42.05 \| 42.78 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_160k_ade20k/upernet_r50_512x512_160k_ade20k_20200615_184328-8534de8d.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_160k_ade20k/upernet_r50_512x512_160k_ade20k_20200615_184328.log.json) \|
	\| UPerNet \| R-101 \| 512x512 \| 160000 \| - \| - \| 43.82 \| 44.85 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_160k_ade20k/upernet_r101_512x512_160k_ade20k_20200615_161951-91b32684.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_160k_ade20k/upernet_r101_512x512_160k_ade20k_20200615_161951.log.json) \|

	### Pascal VOC 2012 + Aug

	\| Method \| Backbone \| Crop Size \| Lr schd \| Mem (GB) \| Inf time (fps) \| mIoU \| mIoU(ms+flip) \| download \|
	\|---------\|----------\|-----------\|--------:\|----------\|----------------\|------:\|--------------:\|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\|
	\| UPerNet \| R-50 \| 512x512 \| 20000 \| 6.4 \| 23.17 \| 74.82 \| 76.35 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_20k_voc12aug/upernet_r50_512x512_20k_voc12aug_20200617_165330-5b5890a7.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_20k_voc12aug/upernet_r50_512x512_20k_voc12aug_20200617_165330.log.json) \|
	\| UPerNet \| R-101 \| 512x512 \| 20000 \| 7.5 \| 19.98 \| 77.10 \| 78.29 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_20k_voc12aug/upernet_r101_512x512_20k_voc12aug_20200617_165629-f14e7f27.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_20k_voc12aug/upernet_r101_512x512_20k_voc12aug_20200617_165629.log.json) \|
	\| UPerNet \| R-50 \| 512x512 \| 40000 \| - \| - \| 75.92 \| 77.44 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_40k_voc12aug/upernet_r50_512x512_40k_voc12aug_20200613_162257-ca9bcc6b.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r50_512x512_40k_voc12aug/upernet_r50_512x512_40k_voc12aug_20200613_162257.log.json) \|
	\| UPerNet \| R-101 \| 512x512 \| 40000 \| - \| - \| 77.43 \| 78.56 \| [model](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_40k_voc12aug/upernet_r101_512x512_40k_voc12aug_20200613_163549-e26476ac.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/upernet/upernet_r101_512x512_40k_voc12aug/upernet_r101_512x512_40k_voc12aug_20200613_163549.log.json) \|