PaddleClas/docs/en/models/ESNet_en.md

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ESNet Series


Catalogue

1. Overview

ESNet (Enhanced ShuffleNet) is a lightweight network developed by Baidu. This network combines the advantages of MobileNetV3, GhostNet, and PPLCNet on the basis of ShuffleNetV2 to form a faster and more accurate network on ARM devices, Because of its excellent performance, PP-PicoDet launched in PaddleDetection uses this model as a backbone, with stronger object detection algorithm, the final mAP index refreshed the SOTA index of the object detection model on the ARM device in one fell swoop.

2. Accuracy, FLOPs and Parameters

Models Top1 Top5 FLOPs
(M)
Params
(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

Please stay tuned for information such as Inference speed.