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SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Reference

Xie, Enze, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, and Ping Luo. "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers." arXiv preprint arXiv:2105.15203 (2021).

Performance

Cityscapes

Model Backbone Resolution Training Iters mIoU(slice) mIoU (flip) mIoU (ms+flip) Links
SegFormer_B0 - 1024x1024 160000 76.73% 77.16% - model | log | vdl
SegFormer_B1 - 1024x1024 160000 78.35% 78.64% - model | log | vdl
SegFormer_B2 - 1024x1024 160000 81.60% 81.82% - model | log | vdl
SegFormer_B3 - 1024x1024 160000 82.47% 82.60% - model | log | vdl
SegFormer_B4 - 1024x1024 160000 82.38% 82.59% - model | log | vdl
SegFormer_B5 - 1024x1024 160000 82.58% 82.82% - model | log | vdl