[Doc]: update changelog (#9245)

* rephrase docs

* rephrase docs

README.md

@@ -77,9 +77,9 @@ Apart from MMDetection, we also released [MMEngine](https://github.com/open-mmla
 
 **v3.0.0rc3** was released in 4/11/2022:
 
-- Support training detection models in Detectron2
-- Support CrowdDet
-- Refactor Fast R-CNN
+- Support [CrowdDet](configs/crowddet/) and EIoULoss
+- Support training detection models in Detectron2, see [examples](configs/misc)
+- Refactor [Fast R-CNN](configs/fast_rcnn/)
 
 ## Installation
 

README_zh-CN.md

@@ -76,9 +76,9 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope
 
 **v3.0.0rc3** 版本已经在 2022.11.4 发布：
 
-- 支持训练 Detectron2 中的检测模型
-- 支持了 CrowdDet。
-- 重构了 Fast R-CNN。
+- 支持了 [CrowdDet](configs/crowddet/) 和 EIoULoss
+- 支持训练 Detectron2 中的检测模型并提供了三个[样例](configs/misc)
+- 重构了 [Fast R-CNN](configs/fast_rcnn/)
 
 ## 安装
 

docs/en/notes/changelog.md

@@ -1,22 +1,22 @@
 # Changelog of v3.x
 
-## v3.0.0rc2 (4/11/2022)
+## v3.0.0rc3 (4/11/2022)
 
-Upgrade the minimum version of mmengine to 0.3.0 due to the addition of `ignore_key` in VOC `ConcatDataset` (#9058)
+Upgrade the minimum version requirement of MMEngine to 0.3.0 to use `ignore_key` of `ConcatDataset` for training VOC datasets (#9058)
 
 ### Highlights
 
-- Support training detection models in Detectron2 (#8672)
-- Support [CrowdDet](https://arxiv.org/abs/2003.09163) (#8744)
-- Refactor Fast R-CNN (#9132)
+- Support [CrowdDet](https://arxiv.org/abs/2003.09163) and [EIoU Loss](https://ieeexplore.ieee.org/document/9429909)
+- Support training detection models in Detectron2
+- Refactor Fast R-CNN
 
-#### New Features
+### New Features
 
-- Support training detection models in Detectron2 (#8672)
 - Support [CrowdDet](https://arxiv.org/abs/2003.09163) (#8744)
+- Support training detection models in Detectron2 with examples of Mask R-CNN, Faster R-CNN, and RetinaNet (#8672)
 - Support [EIoU Loss](https://ieeexplore.ieee.org/document/9429909) (#9086)
 
-#### Bug Fixes
+### Bug Fixes
 
 - Fix `XMLDataset` image size error (#9216)
 - Fix bugs of empty_instances when predicting without nms in roi_head (#9015)
@@ -28,7 +28,7 @@ Upgrade the minimum version of mmengine to 0.3.0 due to the addition of `ignore_
 - Fix configs of training coco subsets on MMDet 3.x (#9225)
 - Fix corner2hbox of HorizontalBoxes for supporting empty bboxes (#9140)
 
-#### Improvements
+### Improvements
 
 - Refactor Fast R-CNN (#9132)
 - Clean requirements of mmcv-full due to SyncBN (#9207)
@@ -38,14 +38,14 @@ Upgrade the minimum version of mmengine to 0.3.0 due to the addition of `ignore_
 - Update eval_metric (#9062)
 - Add `seg_map_suffix` in `BaseDetDataset` (#9088)
 
-## New Contributors
+### New Contributors
 
-- @Wwupup made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9086
-- @sanbuphy made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9153
-- @cxiang26 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9158
-- @JosonChan1998 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9225
+- @Wwupup made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/9086>
+- @sanbuphy made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/9153>
+- @cxiang26 made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/9158>
+- @JosonChan1998 made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/9225>
 
-#### Contributors
+### Contributors
 
 A total of 13 developers contributed to this release.
 
@@ -57,13 +57,13 @@ Thanks @wanghonglie, @Wwupup, @sanbuphy, @BIGWangYuDong, @liuyanyi, @cxiang26, @
 
 - Support [imagenet pre-training](configs/rtmdet/cspnext_imagenet_pretrain) for RTMDet's backbone
 
-#### New Features
+### New Features
 
 - Support [imagenet pre-training](configs/rtmdet/cspnext_imagenet_pretrain) for RTMDet's backbone (#8887)
 - Add `CrowdHumanDataset` and Metric (#8430)
 - Add `FixShapeResize` to support resize of fixed shape (#8665)
 
-#### Bug Fixes
+### Bug Fixes
 
 - Fix `ConcatDataset` Import Error (#8909)
 - Fix `CircleCI` and `readthedoc` build failed (#8980, #8963)
@@ -75,7 +75,7 @@ Thanks @wanghonglie, @Wwupup, @sanbuphy, @BIGWangYuDong, @liuyanyi, @cxiang26, @
 - Update memory occupation of `RTMDet` in metafile (#9098)
 - Fix wrong arguments of `OpenImageMetrics` in the config (#9061)
 
-#### Improvements
+### Improvements
 
 - Refactor standard roi head with `box type` (#8658)
 - Support mask concatenation in `BitmapMasks` and `PolygonMasks` (#9006)
@@ -87,16 +87,16 @@ Thanks @wanghonglie, @Wwupup, @sanbuphy, @BIGWangYuDong, @liuyanyi, @cxiang26, @
 - Support jittering the color of different instances of the same class (#8988)
 - Add assertion for missing key in `PackDetInputs` (#8982)
 
-## New Contributors
+### New Contributors
 
-- @Chan-Sun made their first contribution in https://github.com/open-mmlab/mmdetection/pull/8909
-- @MambaWong made their first contribution in https://github.com/open-mmlab/mmdetection/pull/8913
-- @yuyoujiang made their first contribution in https://github.com/open-mmlab/mmdetection/pull/8437
-- @sltlls made their first contribution in https://github.com/open-mmlab/mmdetection/pull/8944
-- @Nioolek made their first contribution in https://github.com/open-mmlab/mmdetection/pull/8845
-- @wufan-tb made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9061
+- @Chan-Sun made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/8909>
+- @MambaWong made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/8913>
+- @yuyoujiang made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/8437>
+- @sltlls made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/8944>
+- @Nioolek made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/8845>
+- @wufan-tb made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/9061>
 
-#### Contributors
+### Contributors
 
 A total of 13 developers contributed to this release.
 
@@ -108,7 +108,7 @@ Thanks @RangiLyu, @jbwang1997, @wanghonglie, @Chan-Sun, @RangeKing, @chhluo, @Ma
 
 - Release a high-precision, low-latency single-stage object detector [RTMDet](configs/rtmdet).
 
-#### Bug Fixes
+### Bug Fixes
 
 - Fix UT to be compatible with PyTorch 1.6 (#8707)
 - Fix `NumClassCheckHook` bug when model is wrapped (#8794)
@@ -117,7 +117,7 @@ Thanks @RangiLyu, @jbwang1997, @wanghonglie, @Chan-Sun, @RangeKing, @chhluo, @Ma
 - Fix some types and links (#8839, #8820, #8793, #8868)
 - Fix incorrect background fill values in `FSAF` and `RepPoints` Head (#8813)
 
-#### Improvements
+### Improvements
 
 - Refactored anchor head and base head with `box type` (#8625)
 - Refactored `SemiBaseDetector` and `SoftTeacher` (#8786)
@@ -127,7 +127,7 @@ Thanks @RangiLyu, @jbwang1997, @wanghonglie, @Chan-Sun, @RangeKing, @chhluo, @Ma
 - Check empty predictions in `DetLocalVisualizer._draw_instances` (#8830)
 - Fix `floordiv` warning in `SOLO` (#8738)
 
-#### Contributors
+### Contributors
 
 A total of 16 developers contributed to this release.