Skip to content

Latest commit

 

History

History

bisenetv2

README.md

Bisenet v2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation

Introduction

Official Repo

Code Snippet

BiSeNetV2 (IJCV'2021) 
@article{yu2021bisenet,
  title={Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation},
  author={Yu, Changqian and Gao, Changxin and Wang, Jingbo and Yu, Gang and Shen, Chunhua and Sang, Nong},
  journal={International Journal of Computer Vision},
  pages={1--18},
  year={2021},
  publisher={Springer}
}

Results and models

Cityscapes

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
BiSeNetV2 BiSeNetV2 1024x1024 160000 7.64 31.77 73.21 75.74 config model | log
BiSeNetV2 (OHEM) BiSeNetV2 1024x1024 160000 7.64 - 73.57 75.80 config model | log
BiSeNetV2 (4x8) BiSeNetV2 1024x1024 160000 15.05 - 75.76 77.79 config model | log
BiSeNetV2 (FP16) BiSeNetV2 1024x1024 160000 5.77 36.65 73.07 75.13 config model | log

Note:

  • OHEM means Online Hard Example Mining (OHEM) is adopted in training.
  • FP16 means Mixed Precision (FP16) is adopted in training.
  • 4x8 means 4 GPUs with 8 samples per GPU in training.