DeSIRe

Deep Signer-Invariant Representations for Sign Language Recognition

Description

Source code for the implementation of DeSIRe, a novel deep neural network that aims to learn Deep Signer-Invariant Representations, as described in the paper:

P. M. Ferreira, D. Pernes, A. Rebelo and J. S. Cardoso, "DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition", in IEEE Transactions on Systems, Man, and Cybernetics: Systems. doi: 10.1109/TSMC.2019.2957347

Example of Usage

Train:

python code/run_twins.py --model=twins --dataset=staticSL --gpu=0 --mode=train

Test:

python code/run_twins.py --model=twins --dataset=staticSL --gpu=0 --mode=test