* [Enhancement] Change readme style and prepare for metafiles update. * Update apcnet github repo url. * add code snippet. * split code snippet & official repo. * update md2yml hook. * Update metafiles. * Add converted from attribute. * process conflict. * Put defualt variable value. * update bisenet v2 metafile. * checkout to ubuntu environment. * pop empty attribute & make task attribute list. * update readme style * update readme style * update metafiles Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> |
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.. | ||
README.md | ||
encnet.yml | ||
encnet_r50-d8_512x512_20k_voc12aug.py | ||
encnet_r50-d8_512x512_40k_voc12aug.py | ||
encnet_r50-d8_512x512_80k_ade20k.py | ||
encnet_r50-d8_512x512_160k_ade20k.py | ||
encnet_r50-d8_512x1024_40k_cityscapes.py | ||
encnet_r50-d8_512x1024_80k_cityscapes.py | ||
encnet_r50-d8_769x769_40k_cityscapes.py | ||
encnet_r50-d8_769x769_80k_cityscapes.py | ||
encnet_r50s-d8_512x512_80k_ade20k.py | ||
encnet_r101-d8_512x512_20k_voc12aug.py | ||
encnet_r101-d8_512x512_40k_voc12aug.py | ||
encnet_r101-d8_512x512_80k_ade20k.py | ||
encnet_r101-d8_512x512_160k_ade20k.py | ||
encnet_r101-d8_512x1024_40k_cityscapes.py | ||
encnet_r101-d8_512x1024_80k_cityscapes.py | ||
encnet_r101-d8_769x769_40k_cityscapes.py | ||
encnet_r101-d8_769x769_80k_cityscapes.py |
README.md
Context Encoding for Semantic Segmentation
Introduction
EncNet (CVPR'2018)
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Hang and Dana, Kristin and Shi, Jianping and Zhang, Zhongyue and Wang, Xiaogang and Tyagi, Ambrish and Agrawal, Amit},
title = {Context Encoding for Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Results and models
Cityscapes
Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | config | download |
---|---|---|---|---|---|---|---|---|---|
encnet | R-50-D8 | 512x1024 | 40000 | 8.6 | 4.58 | 75.67 | 77.08 | config | model | log |
encnet | R-101-D8 | 512x1024 | 40000 | 12.1 | 2.66 | 75.81 | 77.21 | config | model | log |
encnet | R-50-D8 | 769x769 | 40000 | 9.8 | 1.82 | 76.24 | 77.85 | config | model | log |
encnet | R-101-D8 | 769x769 | 40000 | 13.7 | 1.26 | 74.25 | 76.25 | config | model | log |
encnet | R-50-D8 | 512x1024 | 80000 | - | - | 77.94 | 79.13 | config | model | log |
encnet | R-101-D8 | 512x1024 | 80000 | - | - | 78.55 | 79.47 | config | model | log |
encnet | R-50-D8 | 769x769 | 80000 | - | - | 77.44 | 78.72 | config | model | log |
encnet | R-101-D8 | 769x769 | 80000 | - | - | 76.10 | 76.97 | config | model | log |
ADE20K
Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | config | download |
---|---|---|---|---|---|---|---|---|---|
encnet | R-50-D8 | 512x512 | 80000 | 10.1 | 22.81 | 39.53 | 41.17 | config | model | log |
encnet | R-101-D8 | 512x512 | 80000 | 13.6 | 14.87 | 42.11 | 43.61 | config | model | log |
encnet | R-50-D8 | 512x512 | 160000 | - | - | 40.10 | 41.71 | config | model | log |
encnet | R-101-D8 | 512x512 | 160000 | - | - | 42.61 | 44.01 | config | model | log |