diff --git a/README.md b/README.md
index 226b60f2fa..2930616946 100644
--- a/README.md
+++ b/README.md
@@ -66,7 +66,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.21.0 was released in 2/9/2022.
+v0.22.0 was released in 3/4/2022.
 Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
 
 ## Benchmark and model zoo
diff --git a/README_zh-CN.md b/README_zh-CN.md
index 852459fa82..11dff6fe7f 100644
--- a/README_zh-CN.md
+++ b/README_zh-CN.md
@@ -65,7 +65,7 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O
 
 ## 更新日志
 
-最新版本 v0.21.1 在 2022.2.9 发布。
+最新版本 v0.22.0 在 2022.3.4 发布。
 如果想了解更多版本更新细节和历史信息，请阅读[更新日志](docs/en/changelog.md)。
 
 ## 基准测试和模型库
diff --git a/configs/convnext/README.md b/configs/convnext/README.md
index b70f2c62c6..7d6d716853 100644
--- a/configs/convnext/README.md
+++ b/configs/convnext/README.md
@@ -32,7 +32,7 @@ The "Roaring 20s" of visual recognition began with the introduction of Vision Tr
 
 ### Usage
 
-- This backbone need to install [MMClassification](https://github.com/open-mmlab/mmclassification) first, which has abundant backbones for downstream tasks.
+- ConvNeXt backbone needs to install [MMClassification](https://github.com/open-mmlab/mmclassification) first, which has abundant backbones for downstream tasks.
 
 ```shell
 pip install mmcls>=0.20.1
diff --git a/docker/serve/Dockerfile b/docker/serve/Dockerfile
index 31a5d443f0..b2056e2172 100644
--- a/docker/serve/Dockerfile
+++ b/docker/serve/Dockerfile
@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.4.4"
-ARG MMSEG="0.21.0"
+ARG MMSEG="0.22.0"
 
 ENV PYTHONUNBUFFERED TRUE
 
diff --git a/docs/en/changelog.md b/docs/en/changelog.md
index 3954430419..bc7bf0954f 100644
--- a/docs/en/changelog.md
+++ b/docs/en/changelog.md
@@ -1,6 +1,52 @@
 ## Changelog
 
 
+### V0.22 (3/04/2022)
+
+**Highlights**
+
+- Officially Support ConvNeXt: A ConvNet for the 2020s. Please use the latest MMClassification (0.21.0) to try it out.
+- Support iSAID aerial Dataset.
+- Officially Support inference on Windows OS.
+
+**New Features**
+
+- Support ConvNeXt: A ConvNet for the 2020s. ([#1216](https://github.com/open-mmlab/mmsegmentation/pull/1216))
+- Support iSAID aerial Dataset. ([#1115](https://github.com/open-mmlab/mmsegmentation/pull/1115)
+- Generating and plotting confusion matrix. ([#1301](https://github.com/open-mmlab/mmsegmentation/pull/1301))
+
+**Improvements**
+
+- Refactor 4 decoder heads (ASPP, FCN, PSP, UPer): Split forward function into `_forward_feature` and `cls_seg`. ([#1299](https://github.com/open-mmlab/mmsegmentation/pull/1299))
+- Add `min_size` arg in `Resize` to keep the shape after resize bigger than slide window. ([#1318](https://github.com/open-mmlab/mmsegmentation/pull/1318))
+- Revise pre-commit-hooks. ([#1315](https://github.com/open-mmlab/mmsegmentation/pull/1315))
+- Add win-ci. ([#1296](https://github.com/open-mmlab/mmsegmentation/pull/1296))
+
+**Bug Fixes**
+
+- Fix `mlp_ratio` type in Swin Transformer. ([#1274](https://github.com/open-mmlab/mmsegmentation/pull/1274))
+- Fix path errors in `./demo` . ([#1269](https://github.com/open-mmlab/mmsegmentation/pull/1269))
+- Fix bug in conversion of potsdam. ([#1279](https://github.com/open-mmlab/mmsegmentation/pull/1279))
+- Make accuracy take into account `ignore_index`. ([#1259](https://github.com/open-mmlab/mmsegmentation/pull/1259))
+- Add Pytorch HardSwish assertion in unit test. ([#1294](https://github.com/open-mmlab/mmsegmentation/pull/1294))
+- Fix wrong palette value in vaihingen. ([#1292](https://github.com/open-mmlab/mmsegmentation/pull/1292))
+- Fix the bug that SETR cannot load pretrain. ([#1293](https://github.com/open-mmlab/mmsegmentation/pull/1293))
+- Update correct `In Collection` in metafile of each configs. ([#1239](https://github.com/open-mmlab/mmsegmentation/pull/1239))
+- Upload completed STDC models. ([#1332](https://github.com/open-mmlab/mmsegmentation/pull/1332))
+- Fix `DNLHead` exports onnx inference difference type Cast error. ([#1161](https://github.com/open-mmlab/mmsegmentation/pull/1332))
+
+
+**Contributors**
+
+- @JiaYanhao made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1269
+- @andife made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1281
+- @SBCV made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1279
+- @HJoonKwon made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1259
+- @Tsingularity made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1290
+- @Waterman0524 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1115
+- @MeowZheng made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1315
+- @linfangjian01 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1318
+
 ### V0.21.1 (2/9/2022)
 
 **Bug Fixes**
diff --git a/docs/en/get_started.md b/docs/en/get_started.md
index b0e3e572bc..c9a1a49cc5 100644
--- a/docs/en/get_started.md
+++ b/docs/en/get_started.md
@@ -9,26 +9,27 @@
 
 The compatible MMSegmentation and MMCV versions are as below. Please install the correct version of MMCV to avoid installation issues.
 
-| MMSegmentation version |        MMCV version        |
-|:----------------------:|:--------------------------:|
-|         master         |  mmcv-full>=1.4.4, <1.5.0  |
-|         0.21.0         |  mmcv-full>=1.4.4, <1.5.0  |
-|         0.20.0         | mmcv-full>=1.3.13, <1.5.0  |
-|         0.19.0         | mmcv-full>=1.3.13, <1.3.17 |
-|         0.18.0         | mmcv-full>=1.3.13, <1.3.17 |
-|         0.17.0         | mmcv-full>=1.3.7, <1.3.17  |
-|         0.16.0         | mmcv-full>=1.3.7, <1.3.17  |
-|         0.15.0         | mmcv-full>=1.3.7, <1.3.17  |
-|         0.14.1         | mmcv-full>=1.3.7, <1.3.17  |
-|         0.14.0         |  mmcv-full>=1.3.1, <1.3.2  |
-|         0.13.0         |  mmcv-full>=1.3.1, <1.3.2  |
-|         0.12.0         |  mmcv-full>=1.1.4, <1.3.2  |
-|         0.11.0         |  mmcv-full>=1.1.4, <1.3.0  |
-|         0.10.0         |  mmcv-full>=1.1.4, <1.3.0  |
-|         0.9.0          |  mmcv-full>=1.1.4, <1.3.0  |
-|         0.8.0          |  mmcv-full>=1.1.4, <1.2.0  |
-|         0.7.0          |  mmcv-full>=1.1.2, <1.2.0  |
-|         0.6.0          |  mmcv-full>=1.1.2, <1.2.0  |
+| MMSegmentation version |        MMCV version        | MMClassification version |
+|:----------------------:|:--------------------------:|:------------------------:|
+|         master         |  mmcv-full>=1.4.4, <=1.5.0  | mmcls>=0.20.1, <=1.0.0   |
+|         0.22.0         |  mmcv-full>=1.4.4, <=1.5.0  | mmcls>=0.20.1, <=1.0.0   |
+|         0.21.1         |  mmcv-full>=1.4.4, <=1.5.0  | Not required             |
+|         0.20.2         | mmcv-full>=1.3.13, <=1.5.0  | Not required             |
+|         0.19.0         | mmcv-full>=1.3.13, <1.3.17 | Not required             |
+|         0.18.0         | mmcv-full>=1.3.13, <1.3.17 | Not required             |
+|         0.17.0         | mmcv-full>=1.3.7, <1.3.17  | Not required             |
+|         0.16.0         | mmcv-full>=1.3.7, <1.3.17  | Not required             |
+|         0.15.0         | mmcv-full>=1.3.7, <1.3.17  | Not required             |
+|         0.14.1         | mmcv-full>=1.3.7, <1.3.17  | Not required             |
+|         0.14.0         |  mmcv-full>=1.3.1, <1.3.2  | Not required             |
+|         0.13.0         |  mmcv-full>=1.3.1, <1.3.2  | Not required             |
+|         0.12.0         |  mmcv-full>=1.1.4, <1.3.2  | Not required             |
+|         0.11.0         |  mmcv-full>=1.1.4, <1.3.0  | Not required             |
+|         0.10.0         |  mmcv-full>=1.1.4, <1.3.0  | Not required             |
+|         0.9.0          |  mmcv-full>=1.1.4, <1.3.0  | Not required             |
+|         0.8.0          |  mmcv-full>=1.1.4, <1.2.0  | Not required             |
+|         0.7.0          |  mmcv-full>=1.1.2, <1.2.0  | Not required             |
+|         0.6.0          |  mmcv-full>=1.1.2, <1.2.0  | Not required             |
 
 :::{note}
 You need to run `pip uninstall mmcv` first if you have mmcv installed.
diff --git a/docs/zh_cn/get_started.md b/docs/zh_cn/get_started.md
index 582e5d6abc..22ea21cbc7 100644
--- a/docs/zh_cn/get_started.md
+++ b/docs/zh_cn/get_started.md
@@ -9,26 +9,27 @@
 
 可编译的 MMSegmentation 和 MMCV 版本如下所示，请对照对应版本安装以避免安装问题。
 
-| MMSegmentation 版本 |          MMCV 版本           |
-|:-----------------:|:--------------------------:|
-|      master       |  mmcv-full>=1.4.4, <1.5.0  |
-|      0.21.0       |  mmcv-full>=1.4.4, <1.5.0  |
-|      0.20.0       | mmcv-full>=1.3.13, <1.5.0  |
-|      0.19.0       | mmcv-full>=1.3.13, <1.3.17 |
-|      0.18.0       | mmcv-full>=1.3.13, <1.3.17 |
-|      0.17.0       | mmcv-full>=1.3.7, <1.3.17  |
-|      0.16.0       | mmcv-full>=1.3.7, <1.3.17  |
-|      0.15.0       | mmcv-full>=1.3.7, <1.3.17  |
-|      0.14.1       | mmcv-full>=1.3.7, <1.3.17  |
-|      0.14.0       |  mmcv-full>=1.3.1, <1.3.2  |
-|      0.13.0       |  mmcv-full>=1.3.1, <1.3.2  |
-|      0.12.0       |  mmcv-full>=1.1.4, <1.3.2  |
-|      0.11.0       |  mmcv-full>=1.1.4, <1.3.0  |
-|      0.10.0       |  mmcv-full>=1.1.4, <1.3.0  |
-|       0.9.0       |  mmcv-full>=1.1.4, <1.3.0  |
-|       0.8.0       |  mmcv-full>=1.1.4, <1.2.0  |
-|       0.7.0       |  mmcv-full>=1.1.2, <1.2.0  |
-|       0.6.0       |  mmcv-full>=1.1.2, <1.2.0  |
+| MMSegmentation 版本 |          MMCV 版本         | MMClassification 版本  |
+|:-----------------:|:--------------------------:|:----------------------:|
+|      master       |  mmcv-full>=1.4.4, <=1.5.0  | mmcls>=0.20.1, <=1.0.0 |
+|      0.22.0       |  mmcv-full>=1.4.4, <=1.5.0  | mmcls>=0.20.1, <=1.0.0 |
+|      0.21.1       |  mmcv-full>=1.4.4, <=1.5.0  | Not required             |
+|      0.20.2       | mmcv-full>=1.3.13, <=1.5.0  | Not required             |
+|      0.19.0       | mmcv-full>=1.3.13, <1.3.17 | Not required             |
+|      0.18.0       | mmcv-full>=1.3.13, <1.3.17 | Not required             |
+|      0.17.0       | mmcv-full>=1.3.7, <1.3.17  | Not required             |
+|      0.16.0       | mmcv-full>=1.3.7, <1.3.17  | Not required             |
+|      0.15.0       | mmcv-full>=1.3.7, <1.3.17  | Not required             |
+|      0.14.1       | mmcv-full>=1.3.7, <1.3.17  | Not required             |
+|      0.14.0       |  mmcv-full>=1.3.1, <1.3.2  | Not required             |
+|      0.13.0       |  mmcv-full>=1.3.1, <1.3.2  | Not required             |
+|      0.12.0       |  mmcv-full>=1.1.4, <1.3.2  | Not required             |
+|      0.11.0       |  mmcv-full>=1.1.4, <1.3.0  | Not required             |
+|      0.10.0       |  mmcv-full>=1.1.4, <1.3.0  | Not required             |
+|       0.9.0       |  mmcv-full>=1.1.4, <1.3.0  | Not required             |
+|       0.8.0       |  mmcv-full>=1.1.4, <1.2.0  | Not required             |
+|       0.7.0       |  mmcv-full>=1.1.2, <1.2.0  | Not required             |
+|       0.6.0       |  mmcv-full>=1.1.2, <1.2.0  | Not required             |
 
 注意: 如果您已经安装好 mmcv， 您首先需要运行 `pip uninstall mmcv`。
 如果 mmcv 和 mmcv-full 同时被安装，会报错 `ModuleNotFoundError`。
diff --git a/mmseg/version.py b/mmseg/version.py
index 43cc13ae61..a8e7bbac41 100644
--- a/mmseg/version.py
+++ b/mmseg/version.py
@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.21.1'
+__version__ = '0.22.0'
 
 
 def parse_version_info(version_str):