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

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