文章目录
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- 轻量级网
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- 1. [MobileNet_v1 2017](https://blog.youkuaiyun.com/qq_18315295/article/details/104214403)
- 2. [ShuffleNet_v1 2017](https://blog.youkuaiyun.com/qq_18315295/article/details/104222888)
- 3. [MobileNet_v2 2018CVPR](https://blog.youkuaiyun.com/qq_18315295/article/details/104229222)
- 4. [ShuffleNet_v2 2018ECCV](https://blog.youkuaiyun.com/qq_18315295/article/details/104241639)
- 5. [MoblieNet_v3 2019ICCV](https://blog.youkuaiyun.com/qq_18315295/article/details/104242873)
- 6. [SSD 2016ECCV](https://chenbo.blog.youkuaiyun.com/article/details/104095555)（目标检测不熟，好多东西待搞懂）
- 7. [YOLOv2 2017cvpr](https://chenbo.blog.youkuaiyun.com/article/details/104099435)
- 8. [FPN 2017cvpr](https://chenbo.blog.youkuaiyun.com/article/details/104111003)
- 9. [Mask RCNN 2017 ICCV](https://chenbo.blog.youkuaiyun.com/article/details/104114967)
- 10. [yolov3 2018cvpr](https://blog.youkuaiyun.com/qq_18315295/article/details/104137591)
- 11. [RefineDet 2018cvpr](https://blog.youkuaiyun.com/qq_18315295/article/details/104162699)
- 12. [Cascade R-CNN 2018cvpr](https://blog.youkuaiyun.com/qq_18315295/article/details/104176605)
- 13. [GA-RPN 2019cvpr](https://blog.youkuaiyun.com/qq_18315295/article/details/104190889)
- 14. [FSAF 2019CVPR](https://blog.youkuaiyun.com/qq_18315295/article/details/104195554)
轻量级网
1. MobileNet_v1 2017
深度可分离卷积
对 f ∗ f ∗ m f*f*m f∗f∗m特征图进行卷积，使用n个 k ∗ k ∗ m k*k*m k∗k∗m的卷积核进行普通卷积可转为深度可分离卷积，即先用m个 k ∗ k ∗ 1 k*k*1 k∗k∗1的卷积核对特征图m个通道依次计算一次卷积形成 y ∗ y ∗ m y*y*m y∗y∗m的中间特征图，然后用
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