Self-supervised Synthetic Pretraining for Inference of Stellar Mass Embedded in Dense Gas

Researchers from UC Berkeley Present UnSAM in Computer Vision: A New Paradigm for Segmentation with Minimal Data, Achieving State-of-the-Art Results Without Human Annotation