The demonstrated success of vision transformers in handling medical images underscores the necessity for further exploration of transformer-based models in medical image analysis, reshaping the ...

Let's explore some of the most significant recent advancements in computer vision, highlighting transformer architectures, self-supervised learning, multimodal integration, 3D scene understanding ...

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

A research team in China has developed a novel real-time shadow detection method for PV modules. It uses computer vision for the task, with techniques that enhance the information of the live feed ...

The system is capable of screening up to 25,000 individuals per hour at a range of up to 10 meters (33 feet).

“Where computer vision comes to play, especially with what we’ve seen at Roboflow, is a little over 100,00 developers now have built with our tools over 10,000 pre-trained models using more ...

With more than 30,000 images of 50,000 people, Meta said its FACET tool can help developers test whether AI computer vision systems are biased. Meta has released a new tool that is designed to ...

Two new papers from Sony and Meta describe novel methods to make bias detection fairer. Computer vision systems are everywhere. They help classify and tag images on social media feeds, detect ...