RT Journal Article
T1 Dataset bias exposed in face verification
A1 López López, Eric
A1 Pardo López, Xosé Manuel
A1 Vázquez Regueiro, Carlos
A1 Iglesias Rodríguez, Roberto
A1 Estévez Casado, Fernando
K1 Face recognition
K1 Learning (artificial intelligence)
K1 Mobile devices
K1 Facial images
K1 Public available datasets
K1 Face verification
K1 Facial verification methods
K1 Target domain
K1 Source domain
AB Most facial verification methods assume that training and testing sets contain independent and identically distributed samples, although, in many real applications, this assumption does not hold. Whenever gathering a representative dataset in the target domain is unfeasible, it is necessary to choose one of the already available (source domain) datasets. Here, a study was performed over the differences among six public datasets, and how this impacts on the performance of the learned methods. In the considered scenario of mobile devices, the individual of interest is enrolled using a few facial images taken in the operational domain, while training impostors are drawn from one of the public available datasets. This work tried to shed light on the inherent differences among the datasets, and potential harms that should be considered when they are combined for training and testing. Results indicate that a drop in performance occurs whenever training and testing are done on different datasets compared to the case of using the same dataset in both phases. However, the decay strongly depends on the kind of features. Besides, the representation of samples in the feature space reveals insights into what extent bias is an endogenous or an exogenous factor
PB Wiley
YR 2019
FD 2019
LK http://hdl.handle.net/10347/26000
UL http://hdl.handle.net/10347/26000
LA eng
NO López‐López, E., Pardo, X.M., Regueiro, C.V., Iglesias, R. and Casado, F.E. (2019), Dataset bias exposed in face verification. IET Biom., 8: 249-258 . https://doi.org/10.1049/iet-bmt.2018.5224
NO This is the peer reviewed version of the following article: López‐López, E., Pardo, X.M., Regueiro, C.V., Iglesias, R. and Casado, F.E. (2019), Dataset bias exposed in face verification. IET Biom., 8: 249-258, which has been published in final form at https://doi.org/10.1049/iet-bmt.2018.5224. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions
NO This work has received financial support from the Xunta de Galicia, Consellería de Cultura, Educación e Ordenación Universitaria (Accreditation 2016–2019, EDG431G/01 and ED431G/08, and reference competitive group 2014–2017, GRC2014/030), the European Union: European Social Fund (ESF), European Regional Development Fund (ERDF) and FEDER funds and (AEI/FEDER, UE) grant number TIN2017‐90135‐R.Eric López had received financial support from the Xunta de Galicia and the European Union (European Social Fund ‐ ESF)
DS Minerva
RD 24 abr 2026