PaddleClas/docs/zh_CN/models/ESNet.md

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# ESNet系列
## 概述
ESNet(Enhanced ShuffleNet)是百度自研的一个轻量级网络该网络在ShuffleNetV2的基础上融合了MobileNetV3、GhostNet、PPLCNet的优点组合成了一个在ARM设备上速度更快、精度更高的网络由于其出色的表现所以在PaddleDetection推出的[PP-PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/configs/picodet)使用了该模型做backbone配合更强的目标检测算法最终的指标一举刷新了目标检测模型在ARM设备上的SOTA指标。
## 精度、FLOPs和参数量
| Models | Top1 | Top5 | FLOPs<br>(M) | Params<br/>(M) |
|:--:|:--:|:--:|:--:|:--:|
| ESNet_x0_25 | 62.48 | 83.46 | 30.9 | 2.83 |
| ESNet_x0_5 | 68.82 | 88.04 | 67.3 | 3.25 |
| ESNet_x0_75 | 72.24 | 90.45 | 123.7 | 3.87 |
| ESNet_x1_0 | 73.92 | 91.40 | 197.3 | 4.64 |
关于Inference speed等信息敬请期待。