Conv_type

作者: yuanCruise | 来源:发表于2020-03-15 19:21 被阅读0次

各种卷积操作

1.Convolutions
2.PointwiseConvolutions

来自Network IN Network

3.Spatial and Cross-Channel Convolutions

来自于Inception

4.Grouped Convolutions

来自AlexNet,后大量应用于ResNeXt(Inception-Resnet)

5.Separable Convolutions

DepthwiseSeparable Convolutions:深度可分离卷积,来自mobilenetv1
SpatiallySeparable Convolutions:空间可分离卷积

6.Flattened Convolutions

来自flattened convolutons

7.shuffle group Convoluions

来自shufflenet

8.Dilated Convolutions 空洞卷积

来自deeplab

9.Deformable Convolutions 可变形卷积

来自deformable

10.注意力attention

相关文章

  • Conv_type

    各种卷积操作 1.Convolutions 2.PointwiseConvolutions 来自Network I...

网友评论

      本文标题:Conv_type

      本文链接:https://www.haomeiwen.com/subject/xplhehtx.html