A new state of the art for unsupervised vision
Labeling data can be a chore. It’s the main source of sustenance for computer-vision models; without it, they’d have a lot of difficulty identifying
Source: scienceblog.com
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A new state of the art for unsupervised vision
MIT CSAIL scientists created an algorithm called STEGO to solve one of the hardest tasks in computer vision: assigning every pixel in the world a label without any human supervision.
Source: mit.edu