The structure of RFM consists of three residual blocks with 9x9 convolutional kernels in the middle layer, four residual blocks with 7x7 convolutional kernels in the middle layer, six residual blocks with 5x5 convolutional kernels in the middle layer, and three residual blocks with 3x3 convolutional kernels in the middle layer, which are connected in sequence. The structure of the BottleNeck residual block is shown in Figure 6. Each residual block contains three convolutional layers with kernel sizes of 1x1, n x n, and 1x1, respectively

可以帮我把这段话翻译成英文么?RFM的结构由3个中间卷积层的卷积核大小为9×9的残差块、4个中间卷积层的卷积核大小为7×7的残差块、6个中间卷积层的卷积核大小为5×5的残差块和3个中间卷积层的卷积核大小为3×3的残差块依次连接而成。BottleNeck残差块的结构如图6所示。每个残差块包含三个卷积核分别为1×1、n×n、1×1的卷积层。

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