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Asymmetric Non-local Neural Networks for Semantic Segmentation

Introduction

@inproceedings{annn,
  author    = {Zhen Zhu and
               Mengde Xu and
               Song Bai and
               Tengteng Huang and
               Xiang Bai},
  title     = {Asymmetric Non-local Neural Networks for Semantic Segmentation},
  booktitle={International Conference on Computer Vision},
  year      = {2019},
  url       = {http://arxiv.org/abs/1908.07678},
}

Results and models

Cityscapes

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) download
ANN R-50-D8 512x1024 40000 6 3.71 77.40 78.57 model | log
ANN R-101-D8 512x1024 40000 9.5 2.55 76.55 78.85 model | log
ANN R-50-D8 769x769 40000 6.8 1.70 78.89 80.46 model | log
ANN R-101-D8 769x769 40000 10.7 1.15 79.32 80.94 model | log
ANN R-50-D8 512x1024 80000 - - 77.34 78.65 model | log
ANN R-101-D8 512x1024 80000 - - 77.14 78.81 model | log
ANN R-50-D8 769x769 80000 - - 78.88 80.57 model | log
ANN R-101-D8 769x769 80000 - - 78.80 80.34 model | log

ADE20K

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) download
ANN R-50-D8 512x512 80000 9.1 21.01 41.01 42.30 model | log
ANN R-101-D8 512x512 80000 12.5 14.12 42.94 44.18 model | log
ANN R-50-D8 512x512 160000 - - 41.74 42.62 model | log
ANN R-101-D8 512x512 160000 - - 42.94 44.06 model | log

Pascal VOC 2012 + Aug

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) download
ANN R-50-D8 512x512 20000 6 20.92 74.86 76.13 model | log
ANN R-101-D8 512x512 20000 9.5 13.94 77.47 78.70 model | log
ANN R-50-D8 512x512 40000 - - 76.56 77.51 model | log
ANN R-101-D8 512x512 40000 - - 76.70 78.06 model | log