[Fix] Fix news in README in 1.1 branch

open-mmlab · Oct 15, 2022 · 28fe73d · 28fe73d
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diff --git a/README.md b/README.md
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 **News**:
 
-**v1.1.0rc0** was released in 1/9/2022:
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-- Unifies interfaces of all components based on [MMEngine](https://github.com/open-mmlab/mmengine) and [MMDet 3.x](https://github.com/open-mmlab/mmdetection/tree/3.x).
-- A standard data protocol defines and unifies the common keys across different datasets.
-- Faster training and testing speed with more strong baselines.
+**v1.1.0rc1** was released in 11/10/2022
 
 The compatibilities of models are broken due to the unification and simplification of coordinate systems after v1.0.0rc0. For now, most models are benchmarked with similar performance, though few models are still being benchmarked. In the following release, we will update all the model checkpoints and benchmarks. See more details in the [Changelog](docs/en/notes/changelog.md) and [Changelog-v1.0.x](docs/en/notes/changelog_v1.0.x.md).
 

diff --git a/README_zh-CN.md b/README_zh-CN.md
@@ -26,11 +26,7 @@
 
 **新闻**:
 
-**v1.1.0rc0** 版本已经在 2022.9.1 发布：
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-- 基于 [MMEngine](https://github.com/open-mmlab/mmengine) 和 [MMDet 3.x](https://github.com/open-mmlab/mmdetection/tree/3.x) 统一了各组件接口。
-- 通过一个标准的数据格式定义和统一了不同数据集的通用内容。
-- 实现了更快的训练和测试速度，并提供了更多强大的基准模型。
+**v1.1.0rc1** 版本已经在 2022.10.11 发布。
 
 由于坐标系的统一和简化，模型的兼容性会受到影响。目前，大多数模型都以类似的性能对齐了精度，但仍有少数模型在进行基准测试。在接下来的版本中，我们将更新所有的模型权重文件和基准。您可以在 [变更日志](docs/en/changelog.md) 和 [v1.0.x版本变更日志](docs/en/notes/changelog_v1.0.x.md) 中查看更多详细信息。