Learning to learn with variational inference for cross-domain image classification
Learning models that can generalize to previously unseen domains to which we have no
access is a fundamental yet challenging problem in machine learning. In this paper, we …
access is a fundamental yet challenging problem in machine learning. In this paper, we …
GazeVAE: Gaze Visual Attention Estimator
BL Lin, YX Lin, BK Mamade, YY Chen… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
A person's gaze can reveal where their interest or attention lies in a social scenario.
Detecting a person's gaze is essential in multiple domains (ie, security, psychology, or …
Detecting a person's gaze is essential in multiple domains (ie, security, psychology, or …
[PDF][PDF] Image-to-image Translation via Contour-consistency Networks
HY Wang, HC Lin, CH Hsia… - Sensors and …, 2022 - sensors.myu-group.co.jp
In this paper, a novel framework for image-to-image translation, in which contourconsistency
networks are used to solve the problem of inconsistency between the contours of generated …
networks are used to solve the problem of inconsistency between the contours of generated …