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
Transformer-based Models in Segmentation tasks have initiated a new transformation in the Computer Vision realm. Meta’s Segment Anything Model has proven to be a benchmark due to its robust and…