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Published at December 9

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs

cs.LG

Released Date: December 9, 2024

Authors: George Kontogiannis¹, Pantelis Tzamalis¹, Sotiris Nikoletseas¹

Aff.: ¹University of Patras

Arxiv: http://arxiv.org/pdf/2412.06389v1

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Gest.	Stat. Dist.	MMD	Priv. Score	Disc. Score
DoppelGANger
01a	.888 $\pm$ .01	.005 $\pm$ .001	.786 $\pm$ .017	.300 $\pm$ .018
02a	.803 $\pm$ .02	.001 $\pm$ .001	.802 $\pm$ .000	.154 $\pm$ .024
03a	1.164 $\pm$ .03	.003 $\pm$ .003	.599 $\pm$ .011	.219 $\pm$ .016
03b	.953 $\pm$ .02	.003 $\pm$ .002	.690 $\pm$ .030	.187 $\pm$ .015
TimeGAN
01a	1.710 $\pm$ .01	.006 $\pm$ .002	.720 $\pm$ .008	.38 $\pm$ .016
02a	1.246 $\pm$ .015	.009 $\pm$ .002	.613 $\pm$ .009	.28 $\pm$ .017
03a	1.913 $\pm$ .03	.021 $\pm$ .005	.522 $\pm$ .011	.42 $\pm$ .025
03b	1.168 $\pm$ .022	.032 $\pm$ .003	.588 $\pm$ .012	.42 $\pm$ .014