Update README.md
Browse files
README.md
CHANGED
|
@@ -117,5 +117,15 @@ Results in iNaturalist 2019, iNaturalist 2018, and iNaturalist 2021 with meta-in
|
|
| 117 |
|MetaFormer-2|ImageNet-21k|N|80.4|84.3|90.3|
|
| 118 |
|MetaFormer-2|ImageNet-21k|Y|83.4(+3.0)|88.7(+4.4)|93.6(+3.3)|
|
| 119 |
## Citation
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 120 |
## Acknowledgement
|
| 121 |
Many thanks for [swin-transformer](https://github.com/microsoft/Swin-Transformer).A part of the code is borrowed from it.
|
|
|
|
| 117 |
|MetaFormer-2|ImageNet-21k|N|80.4|84.3|90.3|
|
| 118 |
|MetaFormer-2|ImageNet-21k|Y|83.4(+3.0)|88.7(+4.4)|93.6(+3.3)|
|
| 119 |
## Citation
|
| 120 |
+
|
| 121 |
+
```
|
| 122 |
+
@article{MetaFormer,
|
| 123 |
+
title={MetaFormer: A Unified Meta Framework for Fine-Grained Recognition},
|
| 124 |
+
author={Diao, Qishuai and Jiang, Yi and Wen, Bin and Sun, Jia and Yuan, Zehuan},
|
| 125 |
+
journal={arXiv preprint arXiv:2203.02751},
|
| 126 |
+
year={2022},
|
| 127 |
+
}
|
| 128 |
+
```
|
| 129 |
+
|
| 130 |
## Acknowledgement
|
| 131 |
Many thanks for [swin-transformer](https://github.com/microsoft/Swin-Transformer).A part of the code is borrowed from it.
|