# PP-LCNet **Repository Path**: zhanbiao2023/PP-LCNet ## Basic Information - **Project Name**: PP-LCNet - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-11-18 - **Last Updated**: 2023-11-18 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # PyTorch implementation of PP-LCNet Reproduction of PP-LCNet architecture as described in [PP-LCNet: A Lightweight CPU Convolutional Neural Network](https://arxiv.org/pdf/2109.15099.pdf) by C. Cui. T. Gao, S. Wei *et al* (2021) with the [PyTorch](pytorch.org) framework. The official design is implemented with [Paddle](https://github.com/PaddlePaddle/Paddle) framework, the detail [here](https://github.com/PaddlePaddle/PaddleClas/blob/release/2.3/ppcls/arch/backbone/legendary_models/pp_lcnet.py) ## Models | Architecture | #Parameters | FLOPs | Top-1 Acc. (%) | | ----------------- | :------------: | :------: | -------------------------- | | PPLCNet_x0_25 | 1,522,960 | 18M | | | PPLCNet_x0_35 | 1,646,888 | 29M | | | PPLCNet_x0_5 | 1,881,864 | 47M | | | PPLCNet_x0_75 | 2,359,792 | 99M | | | PPLCNet_x1_0 | 2,955,816 | 161M | | | PPLCNet_x1_5 | 4,504,136 | 342M | | | PPLCNet_x2_0 | 6,526,824 | 590M | | | PPLCNet_x2_5 | 9,023,880 | 906M | | Stay tuned for ImageNet pre-trained weights. ## Acknowledgement The implementation is heavily borrowed from [HBONet](https://github.com/d-li14/HBONet) or [MobileNetV2](https://github.com/d-li14/mobilenetv2.pytorch), please kindly consider citing the following ``` @InProceedings{Li_2019_ICCV, author = {Li, Duo and Zhou, Aojun and Yao, Anbang}, title = {HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions}, booktitle = {The IEEE International Conference on Computer Vision (ICCV)}, month = {Oct}, year = {2019} } ``` ``` @InProceedings{Sandler_2018_CVPR, author = {Sandler, Mark and Howard, Andrew and Zhu, Menglong and Zhmoginov, Andrey and Chen, Liang-Chieh}, title = {MobileNetV2: Inverted Residuals and Linear Bottlenecks}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2018} } ```