Connect with us

News

A 26-layer convolutional neural network for human action recognition

Published

on

Deep learning algorithms, such as convolutional neural networks (CNNs), have achieved remarkable results on a variety of tasks, including those that involve recognizing specific people or objects in images. A task that computer scientists have often tried to tackle using deep learning is vision-based human action recognition (HAR), which specifically entails recognizing the actions of humans who have been captured in images or videos.

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

News

New perception metric balances reaction time, accuracy

Published

on

Researchers at Carnegie Mellon University have developed a new metric for evaluating how well self-driving cars respond to changing road conditions and traffic, making it possible for the first time to compare perception systems for both accuracy and reaction time.

Continue Reading

Box Office Collections