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@@ -10,7 +10,7 @@ Outperformed several recent visual transformers with a top-1 accuracy of 84.16%!
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The model is trained with the [codebase of Swin Transformer](https://github.com/microsoft/Swin-Transformer/) in 300 epochs. The throughput is tested with the Swin codebase as well. We would like to thank the authors of [Swin](https://arxiv.org/abs/2103.14030) for their clean and well-structured code.
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| Model | Train image size | Test size | ImageNet top-1 acc | Throughput (examples/second, batchsize=128, 2080Ti) |
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| Model | Train image size | Test size | ImageNet top-1 | Throughput (examples/second), 320, batchsize=128, 2080Ti) |
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| ------------- |:-------------:| -----:| -----:| -----:|
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| RepVGGplus-L2 | 256 | 320 | 84.16% |**290** |
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| Swin Transformer | 320 | 320 | 84.0 |102 |

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