Despite this, the researchers ay the algorithm has performed as well or better in object recognition tests than other leading object recognition algorithms. For example, the Evolution-Constructed ...

Researchers have shrunk state-of-the-art computer vision models to run on low-power devices. Growing pains: Visual recognition is deep learning’s strongest skill. Computer vision algorithms are ...

Previous adversarial examples have largely been designed in “white box” settings, where computer scientists have access to the underlying mechanics that power an algorithm. In these scenarios ...

Driverless cars, for example, use computer vision and image recognition to identify pedestrians, signs, and other vehicles. For a deeper dive into computer vision check out the following: ...

Algorithms that were right 95 percent of the time when they were dealing with a 13,000-image database, for example, were accurate about 70 percent of the time when confronted with 1 million images.

Many face recognition algorithms boast of classification accuracy scores over 90%, but these outcomes are not universal due to a problem called unbalanced datasets. Much of standard training databases ...

Example of the sound wave shift that makes speech unrecognizable (Arxiv.org) As the researchers explain in the technical paper , they found that the optimal prediction time is 0.5 seconds into the ...