Commercial and industrial drones have the potential to completely disrupt industries and create new ones. Used in applications such as infrastructure inspection, search and rescue, package delivery, and many others, they can save time, money, and lives. Most of these […]
OpenVX is a popular computer vision and machine learning API standard developed by the Khronos Group to be a novel, open and royalty-free standard for cross-platform acceleration. In this talk, we will present the latest features in OpenVX 1.3 in […]
Internet video streaming has recently experienced tremendous growth, but delivery quality remains critically dependent on network bandwidth. To mitigate bandwidth limitations, most video is compressed, resulting in image artifacts, noise, and blur. Quality is also degraded by image upscaling, which […]
Today’s face recognition networks identify white men correctly more often than white women or non-white people. The use of these models can manifest racism, sexism, and other troubling forms of discrimination. There are also publications suggesting that compressed models have […]
In this presentation, we will provide an overview of workflows for deploying compressed deep learning models, starting with PyTorch and creating native C++ application code running in real-time on embedded hardware platforms. We illustrate these workflows on smartphones with real-world […]
There are many statistical metrics used to measure the performance of machine learning models. While they work well when the model itself is the final product, classical measures are often not enough when the model is a part of a […]
The development of visual AI systems for real-world applications is a complex undertaking characterized by a variety of diverse challenges. While the media spotlight is often focused on academic AI models that improve performance based on well-defined datasets, in many […]
Recent progress in machine learning algorithms has been meteoric. Yet their implementation in real-world embedded applications crawls at a snail’s pace, in large part due to inconsistent and inefficient software architectures. In this session, we will introduce the concept of […]
Understanding the 3D environment is a crucial computer vision capability required by a growing set of applications such as autonomous driving, AR/VR and AIoT. 3D visual information, captured by LiDAR and other sensors, is typically represented by a point cloud […]
Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems. With advances in machine learning, the number of accelerators, processors, libraries and compilers in the market is rapidly increasing. Proprietary APIs and formats create […]
