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[Docs] Change ConvNeXt journal infomation (#1350)
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@ -84,7 +84,7 @@ Supported backbones:
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- [x] [Vision Transformer (ICLR'2021)](configs/vit)
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- [x] [Vision Transformer (ICLR'2021)](configs/vit)
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- [x] [Swin Transformer (ICCV'2021)](configs/swin)
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- [x] [Swin Transformer (ICCV'2021)](configs/swin)
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- [x] [Twins (NeurIPS'2021)](configs/twins)
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- [x] [Twins (NeurIPS'2021)](configs/twins)
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- [x] [ConvNeXt (ArXiv'2022)](configs/convnext)
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- [x] [ConvNeXt (CVPR'2022)](configs/convnext)
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Supported methods:
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Supported methods:
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@ -83,7 +83,7 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O
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- [x] [Vision Transformer (ICLR'2021)](configs/vit)
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- [x] [Vision Transformer (ICLR'2021)](configs/vit)
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- [x] [Swin Transformer (ICCV'2021)](configs/swin)
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- [x] [Swin Transformer (ICCV'2021)](configs/swin)
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- [x] [Twins (NeurIPS'2021)](configs/twins)
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- [x] [Twins (NeurIPS'2021)](configs/twins)
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- [x] [ConvNeXt (ArXiv'2022)](configs/convnext)
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- [x] [ConvNeXt (CVPR'2022)](configs/convnext)
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已支持的算法:
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已支持的算法:
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@ -25,7 +25,7 @@ The "Roaring 20s" of visual recognition began with the introduction of Vision Tr
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@article{liu2022convnet,
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@article{liu2022convnet,
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title={A ConvNet for the 2020s},
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title={A ConvNet for the 2020s},
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author={Liu, Zhuang and Mao, Hanzi and Wu, Chao-Yuan and Feichtenhofer, Christoph and Darrell, Trevor and Xie, Saining},
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author={Liu, Zhuang and Mao, Hanzi and Wu, Chao-Yuan and Feichtenhofer, Christoph and Darrell, Trevor and Xie, Saining},
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journal={arXiv preprint arXiv:2201.03545},
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journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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year={2022}
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year={2022}
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}
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}
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```
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```
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