Test-time adaptation (TTA) aims to adapt a pre-trained model to the targ...
Single domain generalization aims to train a generalizable model with on...
This paper proposes a novel test-time adaptation strategy that adjusts t...
Deep learning models for verification systems often fail to generalize t...
In recent visual self-supervision works, an imitated classification
obje...
We consider the problem of training User Verification (UV) models in
fed...
Convolutional Neural Networks are widely used in various machine learnin...
Nowadays, as edge devices such as smartphones become prevalent, there ar...
Machine learning-based User Authentication (UA) models have been widely
...
This paper considers a semi-supervised learning framework for weakly lab...
In this paper, we present an acoustic scene classification framework bas...
This paper presents an end-to-end text-independent speaker verification
...