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Visual generics: How adults understand generic language with different visualizations ...
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Improving Multilingual Models for the Swedish Language : Exploring CrossLingual Transferability and Stereotypical Biases
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Effects of EFL Learning on L1 Chinese Lexis
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In: Sustainability; Volume 13; Issue 23; Pages: 13496 (2021)
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Automated Paraphrase Quality Assessment Using Language Models and Transfer Learning
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In: Computers; Volume 10; Issue 12; Pages: 166 (2021)
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Transfer Capital or Transfer Deficit: A Dual Perspective of English Learning of ESL College Transfer Students
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In: Sustainability; Volume 14; Issue 1; Pages: 214 (2021)
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DATLMedQA: A Data Augmentation and Transfer Learning Based Solution for Medical Question Answering
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In: Applied Sciences; Volume 11; Issue 23; Pages: 11251 (2021)
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Modeling Heritage Language Phonetics and Phonology: Toward an Integrated Multilingual Sound System
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In: Languages; Volume 6; Issue 4; Pages: 209 (2021)
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NASca and NASes: Two Monolingual Pre-Trained Models for Abstractive Summarization in Catalan and Spanish
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In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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Heritage Tagalog Phonology and a Variationist Framework of Language Contact
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In: Languages; Volume 6; Issue 4; Pages: 201 (2021)
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Reusing Monolingual Pre-Trained Models by Cross-Connecting Seq2seq Models for Machine Translation
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In: Applied Sciences ; Volume 11 ; Issue 18 (2021)
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Generating Synthetic Disguised Faces with Cycle-Consistency Loss and an Automated Filtering Algorithm
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In: Mathematics; Volume 10; Issue 1; Pages: 4 (2021)
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Abstract:
Applications for facial recognition have eased the process of personal identification. However, there are increasing concerns about the performance of these systems against the challenges of presentation attacks, spoofing, and disguises. One of the reasons for the lack of a robustness of facial recognition algorithms in these challenges is the limited amount of suitable training data. This lack of training data can be addressed by creating a database with the subjects having several disguises, but this is an expensive process. Another approach is to use generative adversarial networks to synthesize facial images with the required disguise add-ons. In this paper, we present a synthetic disguised face database for the training and evaluation of robust facial recognition algorithms. Furthermore, we present a methodology for generating synthetic facial images for the desired disguise add-ons. Cycle-consistency loss is used to generate facial images with disguises, e.g., fake beards, makeup, and glasses, from normal face images. Additionally, an automated filtering scheme is presented for automated data filtering from the synthesized faces. Finally, facial recognition experiments are performed on the proposed synthetic data to show the efficacy of the proposed methodology and the presented database. Training on the proposed database achieves an improvement in the rank-1 recognition rate (68.3%), over a model trained on the original nondisguised face images.
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Keyword:
CycleGAN; data augmentation; disguised face; generative adversarial networks; Sejong Face Database; style transfer; synthetic database; Synthetic Disguised Face Database; synthetic faces
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URL: https://doi.org/10.3390/math10010004
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Methods for Detoxification of Texts for the Russian Language
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In: Multimodal Technologies and Interaction ; Volume 5 ; Issue 9 (2021)
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Machine Translation in Low-Resource Languages by an Adversarial Neural Network
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In: Applied Sciences; Volume 11; Issue 22; Pages: 10860 (2021)
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3D Expression-Invariant Face Verification Based on Transfer Learning and Siamese Network for Small Sample Size
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In: Electronics ; Volume 10 ; Issue 17 (2021)
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Spanish-Catalan linguistic transfers: A study of lexical availability in Lleida ; Transferències lingüístiques castellà-català: un estudi de disponibilitat lèxica a Lleida
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In: Treballs de Sociolingüística Catalana; Núm. 31 (2021): L’estandardologia comparada: teoria i pràctica; 149-164 (2021)
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Держать, читать oder говорить доклад?! – Kollokationen und andere lexikalische Einheiten in der Sprachausbildung russischer Herkunftssprecher
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Identifying Datooga loans in Iraqw - and the other way round ...
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Identifying Datooga loans in Iraqw - and the other way round ...
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Держать, читать oder говорить доклад?! – Kollokationen und andere lexikalische Einheiten in der Sprachausbildung russischer Herkunftssprecher ...
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Surveying Motion Lexicalisation Patterns in L1-Portuguese/FL-English Bilinguals ...
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