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Pyramid Scene Parsing Network

Introduction

Official Repo

Code Snippet

PSPNet (CVPR'2017) 
@inproceedings{zhao2017pspnet,
  title={Pyramid Scene Parsing Network},
  author={Zhao, Hengshuang and Shi, Jianping and Qi, Xiaojuan and Wang, Xiaogang and Jia, Jiaya},
  booktitle={CVPR},
  year={2017}
}

Results and models

Cityscapes

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
PSPNet R-50-D8 512x1024 40000 6.1 4.07 77.85 79.18 config model | log
PSPNet R-101-D8 512x1024 40000 9.6 2.68 78.34 79.74 config model | log
PSPNet R-50-D8 769x769 40000 6.9 1.76 78.26 79.88 config model | log
PSPNet R-101-D8 769x769 40000 10.9 1.15 79.08 80.28 config model | log
PSPNet R-18-D8 512x1024 80000 1.7 15.71 74.87 76.04 config model | log
PSPNet R-50-D8 512x1024 80000 - - 78.55 79.79 config model | log
PSPNet R-101-D8 512x1024 80000 - - 79.76 81.01 config model | log
PSPNet (FP16) R-101-D8 512x1024 80000 5.34 8.77 79.46 - config model | log
PSPNet R-18-D8 769x769 80000 1.9 6.20 75.90 77.86 config model | log
PSPNet R-50-D8 769x769 80000 - - 79.59 80.69 config model | log
PSPNet R-101-D8 769x769 80000 - - 79.77 81.06 config model | log
PSPNet R-18b-D8 512x1024 80000 1.5 16.28 74.23 75.79 config model | log
PSPNet R-50b-D8 512x1024 80000 6.0 4.30 78.22 79.46 config model | log
PSPNet R-101b-D8 512x1024 80000 9.5 2.76 79.69 80.79 config model | log
PSPNet R-18b-D8 769x769 80000 1.7 6.41 74.92 76.90 config model | log
PSPNet R-50b-D8 769x769 80000 6.8 1.88 78.50 79.96 config model | log
PSPNet R-101b-D8 769x769 80000 10.8 1.17 78.87 80.04 config model | log

ADE20K

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
PSPNet R-50-D8 512x512 80000 8.5 23.53 41.13 41.94 config model | log
PSPNet R-101-D8 512x512 80000 12 15.30 43.57 44.35 config model | log
PSPNet R-50-D8 512x512 160000 - - 42.48 43.44 config model | log
PSPNet R-101-D8 512x512 160000 - - 44.39 45.35 config model | log

Pascal VOC 2012 + Aug

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
PSPNet R-50-D8 512x512 20000 6.1 23.59 76.78 77.61 config model | log
PSPNet R-101-D8 512x512 20000 9.6 15.02 78.47 79.25 config model | log
PSPNet R-50-D8 512x512 40000 - - 77.29 78.48 config model | log
PSPNet R-101-D8 512x512 40000 - - 78.52 79.57 config model | log

Pascal Context

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
PSPNet R-101-D8 480x480 40000 8.8 9.68 46.60 47.78 config model | log
PSPNet R-101-D8 480x480 80000 - - 46.03 47.15 config model | log

Pascal Context 59

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
PSPNet R-101-D8 480x480 40000 - - 52.02 53.54 config model | log
PSPNet R-101-D8 480x480 80000 - - 52.47 53.99 config model | log

Dark Zurich and Nighttime Driving

We support evaluation results on these two datasets using models above trained on Cityscapes training set.

Method Backbone Training Dataset Test Dataset mIoU config evaluation checkpoint
PSPNet R-50-D8 Cityscapes Training set Dark Zurich 10.91 config model | log
PSPNet R-50-D8 Cityscapes Training set Nighttime Driving 23.02 config model | log
PSPNet R-50-D8 Cityscapes Training set Cityscapes Validation set 77.85 config model | log
PSPNet R-101-D8 Cityscapes Training set Dark Zurich 10.16 config model | log
PSPNet R-101-D8 Cityscapes Training set Nighttime Driving 20.25 config model | log
PSPNet R-101-D8 Cityscapes Training set Cityscapes Validation set 78.34 config model | log
PSPNet R-101b-D8 Cityscapes Training set Dark Zurich 15.54 config model | log
PSPNet R-101b-D8 Cityscapes Training set Nighttime Driving 22.25 config model | log
PSPNet R-101b-D8 Cityscapes Training set Cityscapes Validation set 79.69 config model | log

COCO-Stuff 10k

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
PSPNet R-50-D8 512x512 20000 9.6 20.5 35.69 36.62 config model | log
PSPNet R-101-D8 512x512 20000 13.2 11.1 37.26 38.52 config model | log
PSPNet R-50-D8 512x512 40000 - - 36.33 37.24 config model | log
PSPNet R-101-D8 512x512 40000 - - 37.76 38.86 config model | log

COCO-Stuff 164k

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
PSPNet R-50-D8 512x512 80000 9.6 20.5 38.80 39.19 config model | log
PSPNet R-101-D8 512x512 80000 13.2 11.1 40.34 40.79 config model | log
PSPNet R-50-D8 512x512 160000 - - 39.64 39.97 config model | log
PSPNet R-101-D8 512x512 160000 - - 41.28 41.66 config model | log
PSPNet R-50-D8 512x512 320000 - - 40.53 40.75 config model | log
PSPNet R-101-D8 512x512 320000 - - 41.95 42.42 config model | log

Note:

  • FP16 means Mixed Precision (FP16) is adopted in training.