[Enhancement] Update README and model_zoo (#70)

README.md

@@ -56,6 +56,7 @@ Supported methods:
 - [x] [IRR (CVPR'2019)](configs/irr/README.md)
 - [x] [MaskFlownet (CVPR'2020)](configs/maskflownet/README.md)
 - [x] [RAFT (ECCV'2020)](configs/raft/README.md)
+- [x] [GMA (ICCV' 2021)](configs/gma/README.md)
 
 ## Installation
 
@@ -114,3 +115,6 @@ If you use this toolbox or benchmark in your research, please cite this project.
 - [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark.
 - [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab FewShot Learning Toolbox and Benchmark.
 - [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab Human Pose and Shape Estimation Toolbox and Benchmark.
+- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab self-supervised learning toolbox and benchmark.
+- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab Model Compression Toolbox and Benchmark.
+- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab Model Deployment Framework.

README_zh-CN.md

@@ -55,6 +55,7 @@ https://user-images.githubusercontent.com/76149310/141947796-af4f1e67-60c9-48ed-
 - [x] [IRR (CVPR'2019)](configs/irr/README.md)
 - [x] [MaskFlownet (CVPR'2020)](configs/maskflownet/README.md)
 - [x] [RAFT (ECCV'2020)](configs/raft/README.md)
+- [x] [GMA (ICCV' 2021)](configs/gma/README.md)
 
 ## 安装
 
@@ -113,6 +114,9 @@ MMFlow 也提供了其他更详细的教程，包括：
 - [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab 光流估计工具箱与测试基准
 - [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab 少样本学习工具箱与测试基准
 - [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 人体参数化模型工具箱与测试基准
+- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab 自监督学习工具箱与测试基准
+- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab 模型压缩工具箱与测试基准
+- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab 模型部署框架
 
 ## 欢迎加入 OpenMMLab 社区
 

docs/en/model_zoo.md

@@ -1,7 +1,7 @@
 # Model Zoo Statistics
 
-* Number of papers: 8
-* Number of checkpoints: 48 ckpts
+* Number of papers: 9
+* Number of checkpoints: 62 ckpts
 
   * [FlowNet: Learning Optical Flow with Convolutional Networks](../../configs/flownet) (5 ckpts)
   * [FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks](../../configs/flownet2) (7 ckpts)
@@ -10,4 +10,5 @@
   * [A Lightweight Optical Flow CNN-Revisiting Data Fidelity and Regularization](../../configs/liteflownet2) (8 ckpts)
   * [Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation](../../configs/irr) (5 ckpts)
   * [MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask](../../configs/maskflownet) (4 ckpts)
-  * [RAFT: Recurrent All-Pairs Field Transforms for Optical Flow](../../configs/raft) (4 ckpts)
+  * [RAFT: Recurrent All-Pairs Field Transforms for Optical Flow](../../configs/raft) (5 ckpts)
+  * [GMA: Learning to Estimate Hidden Motions with Global Motion Aggregation](../../configs/gma) (13 ckpts)

docs/zh_cn/model_zoo.md

@@ -1,7 +1,7 @@
 # 模型库统计
 
-* 论文数量: 8
-* 模型数量: 48 ckpts
+* 论文数量: 9
+* 模型数量: 62 ckpts
 
   * [FlowNet: Learning Optical Flow with Convolutional Networks](../../configs/flownet) (5 ckpts)
   * [FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks](../../configs/flownet2) (7 ckpts)
@@ -10,4 +10,5 @@
   * [A Lightweight Optical Flow CNN-Revisiting Data Fidelity and Regularization](../../configs/liteflownet2) (8 ckpts)
   * [Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation](../../configs/irr) (5 ckpts)
   * [MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask](../../configs/maskflownet) (4 ckpts)
-  * [RAFT: Recurrent All-Pairs Field Transforms for Optical Flow](../../configs/raft) (4 ckpts)
+  * [RAFT: Recurrent All-Pairs Field Transforms for Optical Flow](../../configs/raft) (5 ckpts)
+  * [GMA: Learning to Estimate Hidden Motions with Global Motion Aggregation](../../configs/gma) (13 ckpts)