Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)

Related tags

Deep Learningtransformeracmsemantic-segmentationcityscapesnon-localade20kself-attentionmmsegmentationapcnetadaptive-context-module
Overview

Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)

Introduction

Official implementation of Adaptive Pyramid Context Network for Semantic Segmentation (Paper).
πŸ”₯ πŸ”₯ APCNet is on MMsegmentation. πŸ”₯ πŸ”₯ 

@InProceedings{He_2019_CVPR,
author = {He, Junjun and Deng, Zhongying and Zhou, Lei and Wang, Yali and Qiao, Yu},
title = {Adaptive Pyramid Context Network for Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}

Overview

Framework

image

Results and models

Cityscapes

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
APCNet R-50-D8 512x1024 40000 7.7 3.57 78.02 79.26 config model | log
APCNet R-101-D8 512x1024 40000 11.2 2.15 79.08 80.34 config model | log
APCNet R-50-D8 769x769 40000 8.7 1.52 77.89 79.75 config model | log
APCNet R-101-D8 769x769 40000 12.7 1.03 77.96 79.24 config model | log
APCNet R-50-D8 512x1024 80000 - - 78.96 79.94 config model | log
APCNet R-101-D8 512x1024 80000 - - 79.64 80.61 config model | log
APCNet R-50-D8 769x769 80000 - - 78.79 80.35 config model | log
APCNet R-101-D8 769x769 80000 - - 78.45 79.91 config model | log

ADE20K

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
APCNet R-50-D8 512x512 80000 10.1 19.61 42.20 43.30 config model | log
APCNet R-101-D8 512x512 80000 13.6 13.10 45.54 46.65 config model | log
APCNet R-50-D8 512x512 160000 - - 43.40 43.94 config model | log
APCNet R-101-D8 512x512 160000 - - 45.41 46.63 config model | log
Owner
GitHub Repository https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Adaptive_Pyramid_Context_Network_for_Semantic_Segmentation_CVPR_2019_paper.pdf
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