f2201f5191c4e92cc5af043eebfd0946-AuthorFeedback.pdf

The reviewer further mentions relevant work around deformable convolutions and MSDNet which we will add to19 ourdiscussions. The24 reviewer mentions a parallel between our CondConv approach and Inception modules, but the methods are quite25 different. The reviewer then mentions specific questions with our discussion ofWi. In our CondConv approach, theWi are32 tensors of the same shape as the original kernels for the convolutional layer being replaced, with the same number33 ofchannels. The reviewer then suggests we analyze other non-linear activation functions to compute routing weights r(x).