diff --git a/README.md b/README.md
index 50fb768b..358afebb 100644
--- a/README.md
+++ b/README.md
@@ -71,6 +71,11 @@ And the figure of P6 model is in [model_design.md](docs/en/algorithm_description
 
 ## What's New
 
+💎 **v0.1.3** was released on 10/11/2022:
+
+1. Fix training failure when saving best weights based on mmengine 0.3.1
+2. Fix `add_dump_metric` error based on mmdet 3.0.0rc3
+
 💎 **v0.1.2** was released on 3/11/2022:
 
 1. Support [YOLOv5/YOLOv6/YOLOX/RTMDet deployments](https://github.com/open-mmlab/mmyolo/blob/main/configs/deploy) for ONNXRuntime and TensorRT
@@ -137,6 +142,7 @@ For different parts from MMDetection, we have also prepared user guides and adva
 
   - [Data flow](docs/en/advanced_guides/data_flow.md)
   - [How to](docs/en/advanced_guides/how_to.md)
+  - [Plugins](docs/en/advanced_guides/plugins.md)
 
 ## Overview of Benchmark and Model Zoo
 
diff --git a/README_zh-CN.md b/README_zh-CN.md
index cecc9ab1..25271372 100644
--- a/README_zh-CN.md
+++ b/README_zh-CN.md
@@ -71,6 +71,11 @@ P6 模型图详见 [model_design.md](docs/zh_CN/algorithm_descriptions/model_des
 
 ## 最新进展
 
+💎 **v0.1.3** 版本已经在 2022.11.10 发布：
+
+1. 基于 mmengine 0.3.1 修复保存最好权重时训练失败问题
+2. 基于 mmdet 3.0.0rc3 修复 `add_dump_metric` 报错 (#253)
+
 💎 **v0.1.2** 版本已经在 2022.11.3 发布：
 
 1. 支持 ONNXRuntime 和 TensorRT 的 [YOLOv5/YOLOv6/YOLOX/RTMDet 部署](https://github.com/open-mmlab/mmyolo/blob/main/configs/deploy)
@@ -147,6 +152,7 @@ MMYOLO 用法和 MMDetection 几乎一致，所有教程都是通用的，你也
 
   - [数据流](docs/zh_cn/advanced_guides/data_flow.md)
   - [How to](docs/zh_cn/advanced_guides/how_to.md)
+  - [插件](docs/zh_cn/advanced_guides/plugins.md)
 
 - [解读文章和资源汇总](docs/zh_cn/article.md)
 
diff --git a/demo/featmap_vis_demo.py b/demo/featmap_vis_demo.py
index 9e8ce3e0..c9fb8eda 100644
--- a/demo/featmap_vis_demo.py
+++ b/demo/featmap_vis_demo.py
@@ -21,10 +21,7 @@ def parse_args():
     parser.add_argument('config', help='Config file')
     parser.add_argument('checkpoint', help='Checkpoint file')
     parser.add_argument(
-        '--out-dir',
-        default='',
-        help='Path to output directory, '
-        'if the user not set this flag then will show each image')
+        '--out-dir', default='./output', help='Path to output file')
     parser.add_argument(
         '--target-layers',
         default=['backbone'],
@@ -41,6 +38,8 @@ def parse_args():
         '--device', default='cuda:0', help='Device used for inference')
     parser.add_argument(
         '--score-thr', type=float, default=0.3, help='Bbox score threshold')
+    parser.add_argument(
+        '--show', action='store_true', help='Show the featmap results')
     parser.add_argument(
         '--channel-reduction',
         default='select_max',
@@ -112,7 +111,7 @@ def main():
 
     model = init_detector(args.config, args.checkpoint, device=args.device)
 
-    if not os.path.exists(args.out_dir):
+    if not os.path.exists(args.out_dir) and not args.show:
         os.mkdir(args.out_dir)
 
     if args.preview_model:
@@ -158,8 +157,7 @@ def main():
             filename = os.path.relpath(image_path, args.img).replace('/', '_')
         else:
             filename = os.path.basename(image_path)
-        out_file = None if args.out_dir != '' else os.path.join(
-            args.out_dir, filename)
+        out_file = None if args.show else os.path.join(args.out_dir, filename)
 
         # show the results
         shown_imgs = []
@@ -183,14 +181,13 @@ def main():
                 arrangement=args.arrangement)
             shown_imgs.append(shown_img)
 
-        # Add original image
-        shown_imgs.append(img)
         shown_imgs = auto_arrange_images(shown_imgs)
 
         progress_bar.update()
         if out_file:
             mmcv.imwrite(shown_imgs[..., ::-1], out_file)
-        else:
+
+        if args.show:
             visualizer.show(shown_imgs)
 
     print(f'All done!'
diff --git a/demo/image_demo.py b/demo/image_demo.py
index 51aabd66..5ccc7aef 100644
--- a/demo/image_demo.py
+++ b/demo/image_demo.py
@@ -46,7 +46,7 @@ def main():
     if args.deploy:
         switch_to_deploy(model)
 
-    if not os.path.exists(args.out_dir):
+    if not os.path.exists(args.out_dir) and not args.show:
         os.mkdir(args.out_dir)
 
     # init visualizer
diff --git a/docs/en/advanced_guides/index.rst b/docs/en/advanced_guides/index.rst
index 06827c1a..bd72cd2e 100644
--- a/docs/en/advanced_guides/index.rst
+++ b/docs/en/advanced_guides/index.rst
@@ -14,3 +14,12 @@ How to
    :maxdepth: 1
 
    how_to.md
+
+
+Plugins
+************************
+
+.. toctree::
+   :maxdepth: 1
+
+   plugins.md
diff --git a/docs/en/advanced_guides/plugins.md b/docs/en/advanced_guides/plugins.md
new file mode 100644
index 00000000..779d515c
--- /dev/null
+++ b/docs/en/advanced_guides/plugins.md
@@ -0,0 +1 @@
+# Plugins
diff --git a/docs/en/notes/changelog.md b/docs/en/notes/changelog.md
index 218b9c4f..90175b7b 100644
--- a/docs/en/notes/changelog.md
+++ b/docs/en/notes/changelog.md
@@ -1,5 +1,30 @@
 # Changelog
 
+## v0.1.3（10/11/2022)
+
+### New Features
+
+1. Support CBAM plug-in and provide plug-in documentation (#246)
+2. Add YOLOv5 P6 model structure diagram and related descriptions (#273)
+
+### Bug Fixes
+
+1. Fix training failure when saving best weights based on mmengine 0.3.1
+2. Fix `add_dump_metric` error based on mmdet 3.0.0rc3 (#253)
+3. Fix backbone does not support `init_cfg` issue (#272)
+4. Change typing import method based on mmdet 3.0.0rc3 (#261)
+
+### Improvements
+
+1. `featmap_vis_demo` support for folder and url input (#248)
+2. Deploy docker file refinement (#242)
+
+#### Contributors
+
+A total of 10 developers contributed to this release.
+
+Thank @kitecats, @triple-Mu, @RangeKing, @PeterH0323, @Zheng-LinXiao, @tkhe, @weikai520, @zytx121, @wanghonglie, @hhaAndroid
+
 ## v0.1.2（3/11/2022)
 
 ### Highlights
diff --git a/docs/en/overview.md b/docs/en/overview.md
index 6927c21c..339bcfa3 100644
--- a/docs/en/overview.md
+++ b/docs/en/overview.md
@@ -53,3 +53,4 @@ The detailed instruction of MMYOLO is as follows.
 
    - [Data flow](https://mmyolo.readthedocs.io/en/latest/advanced_guides/index.html#data-flow)
    - [How to](https://mmyolo.readthedocs.io/en/latest/advanced_guides/index.html#how-to)
+   - [Plugins](https://mmyolo.readthedocs.io/en/latest/advanced_guides/index.html#plugins)
diff --git a/docs/zh_cn/advanced_guides/index.rst b/docs/zh_cn/advanced_guides/index.rst
index 10553f84..81810a88 100644
--- a/docs/zh_cn/advanced_guides/index.rst
+++ b/docs/zh_cn/advanced_guides/index.rst
@@ -14,3 +14,12 @@ How to
    :maxdepth: 1
 
    how_to.md
+
+
+插件
+************************
+
+.. toctree::
+   :maxdepth: 1
+
+   plugins.md
diff --git a/docs/zh_cn/advanced_guides/plugins.md b/docs/zh_cn/advanced_guides/plugins.md
index 7fcbc2bf..338d280f 100644
--- a/docs/zh_cn/advanced_guides/plugins.md
+++ b/docs/zh_cn/advanced_guides/plugins.md
@@ -27,7 +27,7 @@ model = dict(
 <details open>
 <summary><b>支持的插件</b></summary>
 
-- [x] [CBAM](mmyolo/models/plugins)
+- [x] [CBAM](https://github.com/open-mmlab/mmyolo/blob/dev/mmyolo/models/plugins/cbam.py#L84)
 - [x] [GeneralizedAttention](https://github.com/open-mmlab/mmcv/blob/2.x/mmcv/cnn/bricks/generalized_attention.py#L13)
 - [x] [NonLocal2d](https://github.com/open-mmlab/mmcv/blob/2.x/mmcv/cnn/bricks/non_local.py#L250)
 - [x] [ContextBlock](https://github.com/open-mmlab/mmcv/blob/2.x/mmcv/cnn/bricks/context_block.py#L18)
diff --git a/docs/zh_cn/notes/changelog.md b/docs/zh_cn/notes/changelog.md
index a1ceb35e..2aac408c 100644
--- a/docs/zh_cn/notes/changelog.md
+++ b/docs/zh_cn/notes/changelog.md
@@ -1,5 +1,30 @@
 # 更新日志
 
+## v0.1.3（10/11/2022)
+
+### 新特性
+
+1. 支持 CBAM 插件并提供插件文档 (#246)
+2. 新增 YOLOv5 P6 模型结构图和相关说明 (#273)
+
+### Bug 修复
+
+1. 基于 mmengine 0.3.1 修复保存最好权重时训练失败问题
+2. 基于 mmdet 3.0.0rc3 修复 `add_dump_metric` 报错 (#253)
+3. 修复 backbone 不支持 `init_cfg` 问题 (#272)
+4. 基于 mmdet 3.0.0rc3 改变 typing 导入方式 (#261)
+
+### 完善
+
+1. `featmap_vis_demo` 支持文件夹和 url 输入 (#248)
+2. 部署 docker 文件完善 (#242)
+
+### 贡献者
+
+总共 10 位开发者参与了本次版本
+
+谢谢 @kitecats, @triple-Mu, @RangeKing, @PeterH0323, @Zheng-LinXiao, @tkhe, @weikai520, @zytx121, @wanghonglie, @hhaAndroid
+
 ## v0.1.2（3/11/2022)
 
 ### 亮点
diff --git a/docs/zh_cn/overview.md b/docs/zh_cn/overview.md
index 37bdab91..1515b038 100644
--- a/docs/zh_cn/overview.md
+++ b/docs/zh_cn/overview.md
@@ -53,5 +53,6 @@ MMYOLO 文件结构和 MMDetection 完全一致。为了能够充分复用 MMDet
 
    - [数据流](https://mmyolo.readthedocs.io/zh_CN/latest/advanced_guides/index.html#id1)
    - [How to](https://mmyolo.readthedocs.io/zh_CN/latest/advanced_guides/index.html#how-to)
+   - [插件](https://mmyolo.readthedocs.io/zh_CN/latest/advanced_guides/index.html#id3)
 
 6. [解读文章和资源汇总](article.md)
diff --git a/mmyolo/models/plugins/cbam.py b/mmyolo/models/plugins/cbam.py
index 512cf21f..0741fe9f 100644
--- a/mmyolo/models/plugins/cbam.py
+++ b/mmyolo/models/plugins/cbam.py
@@ -10,14 +10,15 @@ from mmyolo.registry import MODELS
 
 
 class ChannelAttention(BaseModule):
-    """ChannelAttention
+    """ChannelAttention.
+
     Args:
         channels (int): The input (and output) channels of the
             ChannelAttention.
         reduce_ratio (int): Squeeze ratio in ChannelAttention, the intermediate
-            channel will be ``int(channels/ratio)``. Default: 16.
+            channel will be ``int(channels/ratio)``. Defaults to 16.
         act_cfg (dict): Config dict for activation layer
-            Default: (dict(type='ReLU'), dict(type='Sigmoid')).
+            Defaults to dict(type='ReLU').
     """
 
     def __init__(self,
@@ -57,7 +58,7 @@ class SpatialAttention(BaseModule):
     """SpatialAttention
     Args:
          kernel_size (int): The size of the convolution kernel in
-            SpatialAttention. Default: 7.
+            SpatialAttention. Defaults to 7.
     """
 
     def __init__(self, kernel_size: int = 7):
@@ -82,29 +83,27 @@ class SpatialAttention(BaseModule):
 
 @MODELS.register_module()
 class CBAM(BaseModule):
-    """Convolutional Block Attention Module.
+    """Convolutional Block Attention Module. arxiv link:
+    https://arxiv.org/abs/1807.06521v2.
 
-    arxiv link: https://arxiv.org/abs/1807.06521v2
     Args:
         in_channels (int): The input (and output) channels of the CBAM.
         reduce_ratio (int): Squeeze ratio in ChannelAttention, the intermediate
-            channel will be ``int(channels/ratio)``. Default: 16.
+            channel will be ``int(channels/ratio)``. Defaults to 16.
         kernel_size (int): The size of the convolution kernel in
-            SpatialAttention. Default: 7.
+            SpatialAttention. Defaults to 7.
         act_cfg (dict): Config dict for activation layer in ChannelAttention
-            Defaults: dict(type='ReLU').
+            Defaults to dict(type='ReLU').
         init_cfg (dict or list[dict], optional): Initialization config dict.
             Defaults to None.
     """
 
-    def __init__(
-            self,
-            in_channels: int,
-            reduce_ratio: int = 16,
-            kernel_size: int = 7,
-            act_cfg: dict = dict(type='ReLU'),
-            init_cfg: OptMultiConfig = None,
-    ):
+    def __init__(self,
+                 in_channels: int,
+                 reduce_ratio: int = 16,
+                 kernel_size: int = 7,
+                 act_cfg: dict = dict(type='ReLU'),
+                 init_cfg: OptMultiConfig = None):
         super().__init__(init_cfg)
         self.channel_attention = ChannelAttention(
             channels=in_channels, reduce_ratio=reduce_ratio, act_cfg=act_cfg)
diff --git a/mmyolo/version.py b/mmyolo/version.py
index dd6b2919..3d43f2df 100644
--- a/mmyolo/version.py
+++ b/mmyolo/version.py
@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
-__version__ = '0.1.2'
+__version__ = '0.1.3'
 
 from typing import Tuple