remove update in models

cf126730 · dengkaipeng · 56d0dca1 · cf126730 · cf126730 · cf126730
6 changed file
--- a/fluid/PaddleCV/video/README.md
+++ b/fluid/PaddleCV/video/README.md
@@ -13,7 +13,7 @@ Paddle视频模型库第一期主要包含如下模型。

 | 模型 | 类别  | 描述 |
 | :---------------: | :--------: | :------------: |
-| [Attention Cluster](./models/attention_cluster/README.md) | 视频分类| CVPR'18提出的视频多模态特征注意力聚簇融合方法 |
+| [Attention Cluster](./models/attention_cluster/README.md) [[论文](https://arxiv.org/abs/1711.09550)] | 视频分类| CVPR'18提出的视频多模态特征注意力聚簇融合方法 |
 | [Attention LSTM](./models/attention_lstm/README.md) | 视频分类| 常用模型，速度快精度高 |
 | [NeXtVLAD](./models/nextvlad/README.md) | 视频分类| 2nd-Youtube-8M最优单模型 |
 | [StNet](./models/stnet/README.md) | 视频分类| AAAI'19提出的视频联合时空建模方法 |

--- a/fluid/PaddleCV/video/models/attention_cluster/README.md
+++ b/fluid/PaddleCV/video/models/attention_cluster/README.md
@@ -102,8 +102,3 @@ Attention Cluster模型使用2nd-Youtube-8M数据集, 数据下载及准备请

 - [Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification](https://arxiv.org/abs/1711.09550), Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen

-## 版本更新
-
- 3/2019: 新增模型
-
-
--- a/fluid/PaddleCV/video/models/attention_lstm/README.md
+++ b/fluid/PaddleCV/video/models/attention_lstm/README.md
@@ -95,7 +95,3 @@ AttentionLSTM模型使用2nd-Youtube-8M数据集，关于数据本分请参考[

 - [Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification](https://arxiv.org/abs/1711.09550), Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen

-## 版本更新
-
- 3/2019: 新增模型
-
--- a/fluid/PaddleCV/video/models/nextvlad/README.md
+++ b/fluid/PaddleCV/video/models/nextvlad/README.md
@@ -87,7 +87,3 @@ NeXtVLAD模型使用2nd-Youtube-8M数据集, 数据下载及准备请参考[数

 - [NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification](https://arxiv.org/abs/1811.05014), Rongcheng Lin, Jing Xiao, Jianping Fan

-## 版本更新
-
- 3/2019: 新增模型
-
--- a/fluid/PaddleCV/video/models/stnet/README.md
+++ b/fluid/PaddleCV/video/models/stnet/README.md
@@ -106,7 +106,3 @@ StNet的训练数据采用由DeepMind公布的Kinetics-400动作识别数据集

 [StNet:Local and Global Spatial-Temporal Modeling for Human Action Recognition](https://arxiv.org/abs/1811.01549), Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen

-## 版本更新
-
- 3/2019: 新增模型
-
--- a/fluid/PaddleCV/video/models/tsn/README.md
+++ b/fluid/PaddleCV/video/models/tsn/README.md
@@ -82,7 +82,3 @@ TSN的训练数据采用由DeepMind公布的Kinetics-400动作识别数据集。

 - [StNet:Local and Global Spatial-Temporal Modeling for Human Action Recognition](https://arxiv.org/abs/1608.00859), Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool

-## 版本更新
-
- 3/2019: 新增模型
-