A landmark head-to-head study finds that a YOLOv3 image detector outperforms point-cloud-native and modular machine learning ...
IDDEA illustrates the shift from generic category recognition to variant-level identification, enabling defense AI systems to ...
Researchers from Shibaura Institute of Technology, Japan, developed a newly trained You Only Look Once (YOLO) model using transfer learning that can detect small moving objects with improved accuracy ...
A research team from the Hefei Institutes of Physical Science (HFIPS) of the Chinese Academy of Sciences (CAS) has proposed a new anti-motion blur single-pixel imaging method for fast-moving objects.
This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results