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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -47,6 +47,7 @@ ADE20K, outperforming previous models by a large margin.
- [ ] Models/APIs for other downstream tasks
- [ ] Support [CVPR 2023 Workshop on End-to-End Autonomous Driving](https://opendrivelab.com/e2ead/cvpr23), see [here](https://github.com/OpenGVLab/InternImage/tree/master/autonomous_driving)
- [ ] Support Segment Anything
- [x] Support extracting intermediate features, see [here](classification/extract_feature.py)
- [x] Low-cost training with [DeepSpeed](https://github.com/microsoft/DeepSpeed), see [here](https://github.com/OpenGVLab/InternImage/tree/master/classification)
- [x] Compiling-free .whl package of DCNv3 operator, see [here](https://github.com/OpenGVLab/InternImage/releases/tag/whl_files)
- [x] InternImage-H(1B)/G(3B)
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1 change: 1 addition & 0 deletions README_CN.md
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Expand Up @@ -45,6 +45,7 @@
- [ ] 各类下游任务
- [ ] 支持[CVPR 2023 Workshop on End-to-End Autonomous Driving](https://opendrivelab.com/e2ead/cvpr23),[详见](https://github.com/OpenGVLab/InternImage/tree/master/autonomous_driving)
- [ ] 支持Segment Anything
- [x] 支持提取模型中间层特征,[详见](classification/extract_feature.py)
- [x] 支持基于[DeepSpeed](https://github.com/microsoft/DeepSpeed)的低成本训练,[详见](https://github.com/OpenGVLab/InternImage/tree/master/classification)
- [x] DCNv3算子预编译.whl包,[详见](https://github.com/OpenGVLab/InternImage/releases/tag/whl_files)
- [x] InternImage-H(1B)/G(3B)
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