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README.md

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Introduction

Official Repo

Code Snippet

This head has two version head.
SETR (CVPR'2021) 
@article{zheng2020rethinking,
  title={Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers},
  author={Zheng, Sixiao and Lu, Jiachen and Zhao, Hengshuang and Zhu, Xiatian and Luo, Zekun and Wang, Yabiao and Fu, Yanwei and Feng, Jianfeng and Xiang, Tao and Torr, Philip HS and others},
  journal={arXiv preprint arXiv:2012.15840},
  year={2020}
}

Results and models

ADE20K

Method Backbone Crop Size Batch Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) config download
SETR-Naive ViT-L 512x512 16 160000 18.40 4.72 48.28 49.56 config model | log
SETR-PUP ViT-L 512x512 16 160000 19.54 4.50 48.24 49.99 config model | log
SETR-MLA ViT-L 512x512 8 160000 10.96 - 47.34 49.05 config model | log
SETR-MLA ViT-L 512x512 16 160000 17.30 5.25 47.54 49.37 config model | log