semi-group convolution
Reviews: Deep Scale-spaces: Equivariance Over Scale
Your proposed modifications sound good. Quality of results: I mostly found the theoretical framework and the subject of scale-equivariance to be interesting, therefore I did not require the paper to achieve state-of-the-art results. The FPN paper is particularly relevant because I believe that they apply the same output function to all levels of the representation, encouraging some degree of scale-equivairance. My overall rating of the paper remains unchanged. Other comments... Related work: Another interesting multi-scale (but not scale-equivariant) paper is "convolutional neural fabrics".