Machine Learning Research
Better Image Processing Through Self-Supervised Learning: Meta’s DINOv3 gets an updated loss term and improved vision performance
DINOv2 showed that a vision transformer pretrained on unlabeled images could produce embeddings that are useful for a wide variety of tasks. Now it has been updated to improve the performance of its embeddings in segmentation and other vision tasks.