yolov5 Fasternet

Yolov5 Fasternet是在Yolov5的基础上进行改进的主干网络。Fasternet旨在追求更快、参数量更少且精度更高的主干网络。它通过替换Yolov5中的DWConv（Depthwise Convolution）层，引入了一种简单但快速且有效的卷积PConv（Pointwise Convolution），从而减少计算冗余和内存访问的数量。此外，Fasternet还强调实现更高的FLOPS（Floating Point Operations Per Second）的重要性，而不仅仅是为了更快的神经网络而减少FLOPs。Fasternet在多种设备上运行良好且普遍快速，包括GPU、CPU和ARM处理器等。研究者对Fasternet进行了广泛的实验，并验证了PConv和Fasternet的高速性和有效性。你可以在论文中详细了解Fasternet的贡献和实现原理。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *2* [yolov5改进之Fasternet主干网络替换](https://blog.csdn.net/qq_41920323/article/details/130648789)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *3* [yolov5增加fasternet结构](https://blog.csdn.net/athrunsunny/article/details/129625155)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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