Update model config and README

README.md

@@ -25,7 +25,7 @@ Recipe details:
   - Activations (M): 9.4
   - Image size: 224 x 224
 - **Papers:**
-  - @: i
+  - Swin Transformer V2: Scaling Up Capacity and Resolution: https://arxiv.org/abs/2111.09883
   - An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: https://arxiv.org/abs/2010.11929v2
 - **Dataset:** ImageNet-1k
 - **Original:** https://github.com/huggingface/pytorch-image-models
@@ -101,7 +101,12 @@ Explore the dataset and runtime metrics of this model in timm [model results](ht
 }
 ```
 ```bibtex
-n
+@inproceedings{liu2021swinv2,
+  title={Swin Transformer V2: Scaling Up Capacity and Resolution}, 
+  author={Ze Liu and Han Hu and Yutong Lin and Zhuliang Yao and Zhenda Xie and Yixuan Wei and Jia Ning and Yue Cao and Zheng Zhang and Li Dong and Furu Wei and Baining Guo},
+  booktitle={International Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2022}
+}
 ```
 ```bibtex
 @article{dosovitskiy2020vit,