README.md

## Introduction

<a href="https://github.com/fudan-zvg/SETR">Official Repo</a>

<a href="https://github.com/SegmentationBLWX/sssegmentation/blob/main/ssseg/modules/models/segmentors/setr/setr.py">Code Snippet</a>

<details>
<summary align="left"><a href="https://arxiv.org/pdf/2012.15840.pdf">SETR (CVPR'2021)</a></summary>

```latex
@inproceedings{zheng2021rethinking,
    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},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    pages={6881--6890},
    year={2021}
}
```

</details>


## Results

#### ADE20k

| Segmentor     | Pretrain               | Backbone    | Crop Size  | Schedule                             | Train/Eval Set  | mIoU   | Download                                                                                                                                                                                                                                                                                                                                                                        |
| :-:           | :-:                    | :-:         | :-:        | :-:                                  | :-:             | :-:    | :-:                                                                                                                                                                                                                                                                                                                                                                             |
| Naive         | ImageNet-22k-384x384   | ViT-Large   | 512x512    | LR/POLICY/BS/EPOCH: 0.01/poly/16/130 | train/val       | 48.43% | [cfg](https://raw.githubusercontent.com/SegmentationBLWX/sssegmentation/main/ssseg/configs/setr/setrnaive_vitlarge_ade20k.py) &#124; [model](https://github.com/SegmentationBLWX/modelstore/releases/download/ssseg_setr/setrnaive_vitlarge_ade20k.pth) &#124; [log](https://github.com/SegmentationBLWX/modelstore/releases/download/ssseg_setr/setrnaive_vitlarge_ade20k.log) |
| PUP           | ImageNet-22k-384x384   | ViT-Large   | 512x512    | LR/POLICY/BS/EPOCH: 0.01/poly/16/130 | train/val       | 48.51% | [cfg](https://raw.githubusercontent.com/SegmentationBLWX/sssegmentation/main/ssseg/configs/setr/setrpup_vitlarge_ade20k.py) &#124; [model](https://github.com/SegmentationBLWX/modelstore/releases/download/ssseg_setr/setrpup_vitlarge_ade20k.pth) &#124; [log](https://github.com/SegmentationBLWX/modelstore/releases/download/ssseg_setr/setrpup_vitlarge_ade20k.log)       |
| MLA           | ImageNet-22k-384x384   | ViT-Large   | 512x512    | LR/POLICY/BS/EPOCH: 0.01/poly/16/130 | train/val       | 49.61% | [cfg](https://raw.githubusercontent.com/SegmentationBLWX/sssegmentation/main/ssseg/configs/setr/setrmla_vitlarge_ade20k.py) &#124; [model](https://github.com/SegmentationBLWX/modelstore/releases/download/ssseg_setr/setrmla_vitlarge_ade20k.pth) &#124; [log](https://github.com/SegmentationBLWX/modelstore/releases/download/ssseg_setr/setrmla_vitlarge_ade20k.log)       |


## More

You can also download the model weights from following sources:

- BaiduNetdisk: https://pan.baidu.com/s/1gD-NJJWOtaHCtB0qHE79rA with access code **s757**