In this repository, code of the TCN architecture presented in the paper "The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models" are reported.
The TCN architecture code is based on Python and Pytorch.
The TCN model we proposed is able to handle multiple temporal scales for a variable number of different time series but can easily be extended to handle more.