Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

Functional magnetic resonance imaging (fMRI) studies, which track ... active versus passive learning, Voss designed an experiment that required participants to memorize an array of objects and ...

The innovations address multi-object tracking, a process used by robotic systems to track ... “In my current research, we are aiming to come up with a deep-learning-based method that detects objects ...

We began measuring individual differences in visual object ... for learning preferences does not help, and beyond evidence supporting better teaching methods – like active learning and multimoda ...