Results 61 to 70 of about 2,191,028 (317)

Efficient Decision-based Black-box Adversarial Attacks on Face Recognition

open access: yes, 2019
Face recognition has obtained remarkable progress in recent years due to the great improvement of deep convolutional neural networks (CNNs). However, deep CNNs are vulnerable to adversarial examples, which can cause fateful consequences in real-world ...
Dong, Yinpeng   +6 more
core   +1 more source

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel   +3 more
wiley   +1 more source

A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking

open access: yesApplied Sciences
Masked face recognition (MFR) has emerged as a critical domain in biometric identification, especially with the global COVID-19 pandemic, which introduced widespread face masks.
Mohamed Mahmoud   +2 more
doaj   +1 more source

FaceNet: A Unified Embedding for Face Recognition and Clustering

open access: yes, 2015
Despite significant recent advances in the field of face recognition, implementing face verification and recognition efficiently at scale presents serious challenges to current approaches.
Kalenichenko, Dmitry   +2 more
core   +1 more source

Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright   +13 more
wiley   +1 more source

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

open access: yes, 2019
In this paper we develop a Quality Assessment approach for face recognition based on deep learning. The method consists of a Convolutional Neural Network, FaceQnet, that is used to predict the suitability of a specific input image for face recognition ...
Beslay, Laurent   +4 more
core   +1 more source

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim   +8 more
wiley   +1 more source

Face Recognition from Sequential Sparse 3D Data via Deep Registration

open access: yes, 2019
Previous works have shown that face recognition with high accurate 3D data is more reliable and insensitive to pose and illumination variations. Recently, low-cost and portable 3D acquisition techniques like ToF(Time of Flight) and DoE based structured ...
Chao, Hongyang   +4 more
core   +1 more source

Effects of the Fluid Replacement Method During Online Hemodiafiltration on the Solute Removal Performance and Biocompatibility Using the Asymmetric Cellulose Triacetate Membrane

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai   +4 more
wiley   +1 more source

Invface: inversion-based synthetic face recognition

open access: yesDiscover Artificial Intelligence
Facial recognition technology has achieved remarkable accuracy across various applications, but its reliance on large-scale real face datasets raises significant privacy and ethical concerns.
Zhifang Sun   +4 more
doaj   +1 more source

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