fix readme (#340)

fix readme

README.md

@@ -6,9 +6,6 @@
 
 PaddleClas is a toolset for image classification tasks prepared for the industry and academia. It helps users train better computer vision models and apply them in real scenarios.
 
-
-**Note**: Baidu proposed a new image classification network structure **`HS-ResNet`**, which reaches 81.3% on ImageNet-1k dataset, while its `params` is almost same as `ResNet50`.The arxiv link is here: [HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network](https://arxiv.org/pdf/2010.07621.pdf). The model structure and the pretrained weights are coming soon!
-
 **Recent update**
 - 2020.09.17 Add `Res2Net50_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 83.1%. Add `Res2Net101_vd_26w_4s_ssld` pretrained model, whose Top-1 Acc on ImageNet-1k dataset reaches 83.9%.
 - 2020.10.12 Add Paddle-Lite demo。
@@ -50,6 +47,7 @@ PaddleClas is a toolset for image classification tasks prepared for the industry
     - [Inception series](#Inception_series)
     - [EfficientNet and ResNeXt101_wsl series](#EfficientNet_and_ResNeXt101_wsl_series)
     - [ResNeSt and RegNet series](#ResNeSt_and_RegNet_series)
+    - HS-ResNet: arxiv link: [https://arxiv.org/pdf/2010.07621.pdf](https://arxiv.org/pdf/2010.07621.pdf). Code and models are coming soon!
 - Model training/evaluation
     - [Data preparation](./docs/en/tutorials/data_en.md)
     - [Model training and finetuning](./docs/en/tutorials/getting_started_en.md)

README_cn.md

@@ -50,6 +50,7 @@
     - [Inception系列](#Inception系列)
     - [EfficientNet与ResNeXt101_wsl系列](#EfficientNet与ResNeXt101_wsl系列)
     - [ResNeSt与RegNet系列](#ResNeSt与RegNet系列)
+    - HS-ResNet: arxiv文章链接: [https://arxiv.org/pdf/2010.07621.pdf](https://arxiv.org/pdf/2010.07621.pdf)。 代码和预训练模型即将开源，敬请期待。
 - 模型训练/评估
     - [数据准备](./docs/zh_CN/tutorials/data.md)
     - [模型训练与微调](./docs/zh_CN/tutorials/getting_started.md)