ARMANets.jl

An implementation of ARMA convolutional layers in Julia.
Author tmthyln
Popularity
2 Stars
Updated Last
1 Year Ago
Started In
September 2020

ARMANets.jl

This is an implementation of ARMA layers and ARMA networks in Julia, based on the paper ARMA Nets: Expanding Receptive Field for Dense Prediction (Su, Jiahao; Wang, Shiqi; Huang, Furong). The layers are a drop-in replacement (or addition) for standard convolutional layers.

See the documentation for more details.

Citation

The original paper can be cited via

@misc{su2020arma,
    title={ARMA Nets: Expanding Receptive Field for Dense Prediction},
    author={Jiahao Su and Shiqi Wang and Furong Huang},
    year={2020},
    eprint={2002.11609},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

Used By Packages

No packages found.