Three tiny neural networks, each under 50,000 parameters, cut prediction error by more than half and reached up to 95 percent ...

Researchers report an adaptive hybrid association strategy that dynamically blends motion and appearance cues to reduce ...

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

Manipulating an object with one hand is a balancing act. Fingers must release and renew their grip while keeping the object ...