Energy efficiency plays a crucial role in making computer vision successful in battery-powered systems, including drones, mobile phones and autonomous robots. Since 2015, IEEE has been organizing annual competition on low-power computer vision to identify the most energy-efficient technologies for […]
Technical Insights I
September 17, 2019
• admin
Efficient deep neural networks are increasingly important in the age of AIoT (AI + IoT), in which people hope to deploy intelligent sensors and systems at scale. However, optimizing neural networks to achieve both high accuracy and efficient resource use […]
Object tracking is a powerful algorithm component and one of the fundamental building blocks for many real-world computer vision applications. Object trackers provide two main benefits when incorporated into a localization module. First, trackers can reduce overall computation and power […]
Deep learning-based computer vision models have gained traction in applications requiring object detection, thanks to their accuracy and flexibility. For deployment on low-power hardware, single-shot detection (SSD) models are attractive due to their speed when operating on inputs with small […]
In the past few years convolutional neural networks (CNN) have revolutionized several application domains in AI and computer vision. The biggest challenge with state-of-the-art CNNs is the massive compute demands that prevent these models from being used in many embedded […]
Usually, the top places in deep learning challenges are won by huge neural networks that require massive amounts of data and computation, making them impractical for use in real-time edge applications like security and autonomous driving. In this talk we […]
September 17, 2019
• admin
Deep learning on embedded devices is currently enjoying significant success in a number of vision applications – particularly smartphones, where increasingly prevalent AI cameras are able to enhance every captured moment. However, the considerable number of deep learning network architectures […]
Suspendisse lobortis tortor turpis, non condimentum est vehicula vel. Nulla sem eros, laoreet in pretium sed, varius egestas metus. Ut ut tellus dictum urna varius sollicitudin. Quisque eget blandit dolor. Integer lobortis, sem vitae dapibus posuere, tellus ex luctus est.
Donec fermentum, leo id molestie lacinia, velit orci porta orci, ut scelerisque eros ex vel dui. Nulla malesuada est mi, sed mattis augue sodales vel. Duis faucibus lectus et leo ornare tincidunt.
Fusce nisl urna, auctor et turpis at, elementum mattis lorem. Fusce dictum orci sit amet feugiat tincidunt. Etiam ultrices volutpat felis, non congue odio elementum vel. Nunc eu congue odio.
-
STAY CONNECTED
Follow us on Twitter and LinkedIn.
