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Chengpeng Chen
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update readme
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readme.md

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@@ -73,7 +73,7 @@ We compare RepGhostNet to [MobileOne](https://arxiv.org/abs/2206.04040) on iPhon
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The MobileOne series models are $\mu0$, $\mu1$, $\mu2$, S0, S1, S2, S3 and S4.
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<p align="center">
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<img src="figs/accuracy_to_latency_iphone12cpu.png" width=256>
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<img src="figs/accuracy_to_latency_iphone12cpu.png" width=384>
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</p>
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work_dirs/train/readme.md

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@@ -5,13 +5,13 @@ During training, the models are evaluated using 8 GPUs, in which each GPU has it
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and we only save one model in GPU-0 as checkpoint, i.e., our released model.
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| RepGhostNet | Params(M) | FLOPs(M) | Latency(ms) | Top-1 Acc.(%) | Top-5 Acc.(%) | checkpoints | logs |
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|:------------|:----------|:---------|:------------|:--------------|:--------------|:-----------------------------------------------------------------------------------------------------|:------------------------------------------------------|
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| 0.5x | 2.3 | 43 | 25.1 | 66.9 | 86.9 | [googledrive](https://drive.google.com/file/d/16AGg-kSscFXDpXPZ3cJpYwqeZbUlUoyr/view?usp=share_link) | [log](./train/repghostnet_0_5x_43M_66.95/train.log) |
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| 0.58x | 2.5 | 60 | 31.9 | 68.9 | 88.4 | [googledrive](https://drive.google.com/file/d/1L6ccPjfnCMt5YK-pNFDfqGYvJyTRyZPR/view?usp=share_link) | [log](./train/repghostnet_0_58x_60M_68.94/train.log) |
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| 0.8x | 3.3 | 96 | 44.5 | 72.2 | 90.5 | [googledrive](https://drive.google.com/file/d/13gmUpwiJF_O05f3-3UeEyKD57veL5cG-/view?usp=share_link) | [log](./train/repghostnet_0_8x_96M_72.24/train.log) |
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| 1.0x | 4.1 | 142 | 62.2 | 74.2 | 91.5 | [googledrive](https://drive.google.com/file/d/1gzfGln60urfY38elpPHVTyv9b94ukn5o/view?usp=share_link) | [log](./train/repghostnet_1_0x_142M_74.22/train.log) |
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| 1.11x | 4.5 | 170 | 71.5 | 75.1 | 92.2 | [googledrive](https://drive.google.com/file/d/14Lk4pKWIUFk1Mb53ooy_GsZbhMmz3iVE/view?usp=share_link) | [log](./train/repghostnet_1_11x_170M_75.07/train.log) |
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| 1.3x | 5.5 | 231 | 92.9 | 76.4 | 92.9 | [googledrive](https://drive.google.com/file/d/1dNHpX2JyiuTcDmmyvr8gnAI9t8RM-Nui/view?usp=share_link) | [log](./train/repghostnet_1_3x_231M_76.37/train.log) |
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| 1.5x | 6.6 | 301 | 116.9 | 77.5 | 93.5 | [googledrive](https://drive.google.com/file/d/1TWAY654Dz8zcwhDBDN6QDWhV7as30P8e/view?usp=share_link) | [log](./train/repghostnet_1_5x_301M_77.45/train.log) |
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| 2.0x | 9.8 | 516 | 190.0 | 78.8 | 94.3 | [googledrive](https://drive.google.com/file/d/12k00eWCXhKxx_fq3ewDhCNX08ftJ-iyP/view?usp=share_link) | [log](./train/repghostnet_2_0x_516M_78.81/train.log) |
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| RepGhostNet | Params(M) | FLOPs(M) | Latency(ms) | Top-1 Acc.(%) | Top-5 Acc.(%) | checkpoints | logs |
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|:------------|:----------|:---------|:------------|:--------------|:--------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------|
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| 0.5x | 2.3 | 43 | 25.1 | 66.9 | 86.9 | [gdrive](https://drive.google.com/file/d/16AGg-kSscFXDpXPZ3cJpYwqeZbUlUoyr/view?usp=share_link) \ [百度网盘](https://pan.baidu.com/s/1s-tuS8JoHVoCVHWuUiHUFw?pwd=qttp) | [log](./work_dirs/train/repghostnet_0_5x_43M_66.95/train.log) |
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| 0.58x | 2.5 | 60 | 31.9 | 68.9 | 88.4 | [gdrive](https://drive.google.com/file/d/1L6ccPjfnCMt5YK-pNFDfqGYvJyTRyZPR/view?usp=share_link) \ [百度网盘](https://pan.baidu.com/s/1bnVk2ILONqPEbmTQahZ0Og?pwd=tiyw) | [log](./work_dirs/train/repghostnet_0_58x_60M_68.94/train.log) |
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| 0.8x | 3.3 | 96 | 44.5 | 72.2 | 90.5 | [gdrive](https://drive.google.com/file/d/13gmUpwiJF_O05f3-3UeEyKD57veL5cG-/view?usp=share_link) \ [百度网盘](https://pan.baidu.com/s/1L_EJ0CnQeGpd0QBoOiY7oQ?pwd=rkd8) | [log](./work_dirs/train/repghostnet_0_8x_96M_72.24/train.log) |
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| 1.0x | 4.1 | 142 | 62.2 | 74.2 | 91.5 | [gdrive](https://drive.google.com/file/d/1gzfGln60urfY38elpPHVTyv9b94ukn5o/view?usp=share_link) \ [百度网盘](https://pan.baidu.com/s/1CEwuBLV05z7zrVbBrku59w?pwd=z4s7) | [log](./work_dirs/train/repghostnet_1_0x_142M_74.22/train.log) |
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| 1.11x | 4.5 | 170 | 71.5 | 75.1 | 92.2 | [gdrive](https://drive.google.com/file/d/14Lk4pKWIUFk1Mb53ooy_GsZbhMmz3iVE/view?usp=share_link) \ [百度网盘](https://pan.baidu.com/s/1Lb54Jiqyt0Jc6X4F_tUYnw?pwd=dwcb) | [log](./work_dirs/train/repghostnet_1_11x_170M_75.07/train.log) |
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| 1.3x | 5.5 | 231 | 92.9 | 76.4 | 92.9 | [gdrive](https://drive.google.com/file/d/1dNHpX2JyiuTcDmmyvr8gnAI9t8RM-Nui/view?usp=share_link) \ [百度网盘](https://pan.baidu.com/s/19x_OUgxRDvwh2g4E9gN12Q?pwd=uux6) | [log](./work_dirs/train/repghostnet_1_3x_231M_76.37/train.log) |
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| 1.5x | 6.6 | 301 | 116.9 | 77.5 | 93.5 | [gdrive](https://drive.google.com/file/d/1TWAY654Dz8zcwhDBDN6QDWhV7as30P8e/view?usp=share_link) \ [百度网盘](https://pan.baidu.com/s/15UWOMRQN5vw99QbgiFWMRw?pwd=3uqq) | [log](./work_dirs/train/repghostnet_1_5x_301M_77.45/train.log) |
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| 2.0x | 9.8 | 516 | 190.0 | 78.8 | 94.3 | [gdrive](https://drive.google.com/file/d/12k00eWCXhKxx_fq3ewDhCNX08ftJ-iyP/view?usp=share_link) \ [百度网盘](https://pan.baidu.com/s/1YbtYvIBt3tTqCzvbcjJuBw?pwd=nq1r) | [log](./work_dirs/train/repghostnet_2_0x_516M_78.81/train.log) |

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