@inbook{0b9aef2430814078ab399620901e2705,
title = "Catastrophic Interference in Disguised Face Recognition",
abstract = "It is commonly known the natural tendency of artificial neural networks to completely and abruptly forget previously known information when learning new information. We explore this behaviour in the context of Face Verification on the recently proposed Disguised Faces in the Wild dataset (DFW). We empirically evaluate several commonly used DCNN architectures on Face Recognition and distill some insights about the effect of sequential learning on distinct identities from different datasets, showing that the catastrophic forgetness phenomenon is present even in feature embeddings fine-tuned on different tasks from the original domain.",
keywords = "Disguised Faces, Face recognition, Neural network forgetness",
author = "Ardakani, \{Parichehr B.\} and Diego Velazquez and Gonfaus, \{Josep M.\} and Pau Rodr{\'i}guez and \{Xavier Roca\}, F. and Jordi Gonz{\`a}lez",
note = "Funding Information: Acknowledgements. Authors acknowledge the support of the Spanish project TIN2015-65464-R (MINECO FEDER), the 2016FI B 01163 grant of Generalitat de Catalunya, and the COST Action IC1307 iV\&L Net. We also gratefully acknowledge the support of NVIDIA Corporation with the donation of a Tesla K40 GPU and a GTX TITAN GPU, used for this research. Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2019",
doi = "10.1007/978-3-030-31321-0\_6",
language = "English",
isbn = "9783030313203",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "64--75",
editor = "Aythami Morales and Julian Fierrez and S{\'a}nchez, \{Jos{\'e} Salvador\} and Bernardete Ribeiro",
booktitle = "Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Proceedings",
}