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# SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
This repo contains the supported code and configuration files to reproduce [SegFormer](https://arxiv.org/abs/2105.15203).
This repository contains PyTorch evaluation code, training code and pretrained models for [SegFormer](https://arxiv.org/abs/2105.15203).
SegFormer is a simple, efficient and powerful semantic segmentation method, as shown in Figure 1.
We use [MMSegmentation v0.13.0](https://github.com/open-mmlab/mmsegmentation/tree/v0.13.0) as the codebase.