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Found 6 papers, 1 papers with code
Masterful: A Training Platform for Computer Vision Models
The platform's primary goal is to maximize a trained model's accuracy, which it achieves through its regularization and semi-supervised learning implementations.
COVID-19 Emotion Monitoring as a Tool to Increase Preparedness for Disease Outbreaks in Developing Regions
The COVID-19 pandemic brought many challenges, from hospital-occupation management to lock-down mental-health repercussions such as anxiety or depression.
Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic
Justifying draconian measures during the Covid-19 pandemic was difficult not only because of the restriction of individual rights, but also because of its economic impact.
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation
This paper presents a novel method for visual-inertial odometry.
Inertial Odometry on Handheld Smartphones
Building a complete inertial navigation system using the limited quality data provided by current smartphones has been regarded challenging, if not impossible.
