chore: add MobileNets paper link

yexue52 · Mar 14, 2023 · 42dfe66 · 42dfe66
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commit 42dfe66
Showing 1 changed file with 3 additions and 1 deletion.
diff --git a/7-model_compression/轻量级网络论文解析/MobileNetv1论文详解.md b/7-model_compression/轻量级网络论文解析/MobileNetv1论文详解.md
@@ -90,6 +90,7 @@ Figure 4 中的“极限” Inception 模块与本文的主角-深度可分离
 ![深度可分离卷积的计算步骤](../../data/images/mobilenetv1/深度可分离卷积的计算步骤.png)
 
 ![滤波器尺寸](../../data/images/mobilenetv1/滤波器尺寸.png)
+> 图片来源论文 [MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications](https://arxiv.org/pdf/1704.04861.pdf)。
 
 #### Depthwise 卷积
 
@@ -316,4 +317,5 @@ if __name__ == "__main__":
 5. [Depthwise卷积与Pointwise卷积](https://zhuanlan.zhihu.com/p/80041030)
 6. [【CNN结构设计】深入理解深度可分离卷积](https://mp.weixin.qq.com/s/IZ-nbrCL8-9w32RSYeP_bg)
 7. [FLOPs与模型推理速度](https://zhuanlan.zhihu.com/p/122943688)
-8. [MobileDets: FLOPs不等于Latency，考量不同硬体的高效架构](https://medium.com/ai-blog-tw/mobiledets-flops%E4%B8%8D%E7%AD%89%E6%96%BClatency-%E8%80%83%E9%87%8F%E4%B8%8D%E5%90%8C%E7%A1%AC%E9%AB%94%E7%9A%84%E9%AB%98%E6%95%88%E6%9E%B6%E6%A7%8B-5bfc27d4c2c8)
+8. [MobileDets: FLOPs不等于Latency，考量不同硬体的高效架构](https://medium.com/ai-blog-tw/mobiledets-flops%E4%B8%8D%E7%AD%89%E6%96%BClatency-%E8%80%83%E9%87%8F%E4%B8%8D%E5%90%8C%E7%A1%AC%E9%AB%94%E7%9A%84%E9%AB%98%E6%95%88%E6%9E%B6%E6%A7%8B-5bfc27d4c2c8)
+9. [MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications](https://arxiv.org/pdf/1704.04861.pdf)