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GhostNet由华为诺亚方舟实验室在2020年提出,此网络提供了一个全新的Ghost模块,旨在通过廉价操作生成更多的特征图。基于一组原始的特征图,作者应用一系列线性变换,以很小的代价生成许多能从原始特征发掘所需信息的“幻影”特征图(Ghost feature maps)。该Ghost模块即插即用,通过堆叠Ghost模块得出Ghost bottleneck,进而搭建轻量级神经网络——GhostNet。该架构可以在同样精度下,速度和计算量均少于SOTA算法。
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Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》