A new state of the art for unsupervised computer vision
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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.
Unsupervised Learning, Machine Vision
A new algorithm discovers and detects objects entirely without humans - Technology Org
The MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) – sciencesprings
Prototypical Contrastive Learning
Overview: State-of-the-Art Machine Learning Algorithms per Discipline & per Task, by Hucker Marius
Refik Anadol's “Unsupervised” - Criticism - e-flux
STEGO: Self-supervised Transformer with Energy-based Graph Optimization – sciencesprings
Refik Anadol: Unsupervised
Supervised learning and unsupervised learning. Supervised learning uses
Top 18 Applications of visual AI in Security and Surveillance
June Newsletter – Royal Statistical Society Data Science Section
The MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) – sciencesprings
Unsupervised content-preserving transformation for optical microscopy
