In recent years, vision transformers have been introduced into face
reco...
In many real-world applications, face recognition models often degenerat...
Although face recognition has made impressive progress in recent years, ...
During the Covid, online meetings have become an indispensable part of o...
Domain adaptation aims to leverage a labeled source domain to learn a
cl...
Despite great progress in face recognition tasks achieved by deep convol...
We introduce the Oracle-MNIST dataset, comprising of 28×28 grayscale
ima...
Oracle bone script is the earliest-known Chinese writing system of the S...
Although deep face recognition has achieved impressive progress in recen...
In existing deep learning methods, almost all loss functions assume that...
Most of the current anti-jamming algorithms for wireless communications ...
Test data measured by medical instruments often carry imprecise ranges t...
Racial equality is an important theme of international human rights law,...
Session-based Recurrent Neural Networks (RNNs) are gaining increasing
po...
We consider a wireless sensor network in which all the nodes wish to spr...
Despite of the progress achieved by deep learning in face recognition (F...
Driven by graphics processing units (GPUs), massive amounts of annotated...
Deep domain adaption has emerged as a new learning technique to address ...