MIT & Harvard’s Open-Source FAn System Enables Real-Time Any Objects Detection, Tracking, and Following

In a new paper Follow Anything: Open-set detection, tracking, and following in real-time, a research team from MIT and Harvard University presents the follow anything system (FAn), an open-set real-time any object following framework that can detect, segment, track, and follow any object, and is able to adapt to new objects using text, images, or click queries.

ai artificial intelligence computer vision computer vision & graphics deep-neural-networks detection framework harvard harvard university machine learning machine learning & data science mit ml object-detection objects paper real-time research research team set team technology tracking university