@inproceedings{5bd7f5628b60449c98bf909a95623cd9,
title = "Fully Convolutional Fractional Scaling",
abstract = "Fully convolutional networks can be applied to any size input but till now do not support non-integer scaling. We introduce a fully convolutional fractional scaling component, FCFS. Our architecture is simple with an efficient single layer implementation. Examples and code implementations of three common scaling methods are published.",
keywords = "FCN, fractional scaling, fully convolutional layer, fully convolutional network, fully convolutional scaling, pixelshuffle, scaling",
author = "Michael Soloveitchik and Michael Werman",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 16th IEEE International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2022 ; Conference date: 19-10-2022 Through 21-10-2022",
year = "2022",
doi = "10.1109/SITIS57111.2022.00050",
language = "الإنجليزيّة",
series = "Proceedings - 16th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "238--245",
editor = "Kokou Yetongnon and Albert Dipanda and Luigi Gallo",
booktitle = "Proceedings - 16th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2022",
address = "الولايات المتّحدة",
}