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谢昕辰 725d5aa002 [Feature] support mim (#549) 
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README.md comment tag (#505) 2021-04-24 09:58:59 -07:00
ccnet_r50-d8_512x512_20k_voc12aug.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r50-d8_512x512_40k_voc12aug.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r50-d8_512x512_80k_ade20k.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r50-d8_512x512_160k_ade20k.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r50-d8_512x1024_40k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r50-d8_512x1024_80k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r50-d8_769x769_40k_cityscapes.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
ccnet_r50-d8_769x769_80k_cityscapes.py [Improvement] Move train_cfg/test_cfg inside model (#341) 2021-01-19 17:06:23 -08:00
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ccnet_r101-d8_512x512_40k_voc12aug.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r101-d8_512x512_80k_ade20k.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r101-d8_512x512_160k_ade20k.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r101-d8_512x1024_40k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r101-d8_512x1024_80k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r101-d8_769x769_40k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
ccnet_r101-d8_769x769_80k_cityscapes.py init commit 2020-07-10 02:39:01 +08:00
metafile.yml [Feature] support mim (#549) 2021-05-31 15:07:24 -07:00

README.md

CCNet: Criss-Cross Attention for Semantic Segmentation

Introduction

@article{huang2018ccnet,
    title={CCNet: Criss-Cross Attention for Semantic Segmentation},
    author={Huang, Zilong and Wang, Xinggang and Huang, Lichao and Huang, Chang and Wei, Yunchao and Liu, Wenyu},
    booktitle={ICCV},
    year={2019}
}

Results and models

Cityscapes

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
CCNet R-50-D8 512x1024 40000 6 3.32 77.76 78.87 config model | log
CCNet R-101-D8 512x1024 40000 9.5 2.31 76.35 78.19 config model | log
CCNet R-50-D8 769x769 40000 6.8 1.43 78.46 79.93 config model | log
CCNet R-101-D8 769x769 40000 10.7 1.01 76.94 78.62 config model | log
CCNet R-50-D8 512x1024 80000 - - 79.03 80.16 config model | log
CCNet R-101-D8 512x1024 80000 - - 78.87 79.90 config model | log
CCNet R-50-D8 769x769 80000 - - 79.29 81.08 config model | log
CCNet R-101-D8 769x769 80000 - - 79.45 80.66 config model | log

ADE20K

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
CCNet R-50-D8 512x512 80000 8.8 20.89 41.78 42.98 config model | log
CCNet R-101-D8 512x512 80000 12.2 14.11 43.97 45.13 config model | log
CCNet R-50-D8 512x512 160000 - - 42.08 43.13 config model | log
CCNet R-101-D8 512x512 160000 - - 43.71 45.04 config model | log

Pascal VOC 2012 + Aug

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
CCNet R-50-D8 512x512 20000 6 20.45 76.17 77.51 config model | log
CCNet R-101-D8 512x512 20000 9.5 13.64 77.27 79.02 config model | log
CCNet R-50-D8 512x512 40000 - - 75.96 77.04 config model | log
CCNet R-101-D8 512x512 40000 - - 77.87 78.90 config model | log