Meta-AI
COMPUTER VISION
DINOv2: State-of-the-art computer vision models with self-supervised learning
Today, we are open-sourcing DINOv2, the first method for training computer vision models that uses self-supervised learning to achieve results that match or surpass the standard approach used in the field.
Meta AI has built DINOv2, a new method for training high-performance computer vision models.
DINOv2 delivers strong performance and does not require fine-tuning. This makes it suitable for use as a backbone for many different computer vision tasks.
Because it uses self-supervision, DINOv2 can learn from any collection of images. It can also learn features, such as depth estimation, that the current standard approach cannot.
We are open-sourcing our model and sharing an interactive demo.
Today, we are open-sourcing DINOv2, the first method for training computer vision models that uses self-supervised learning to achieve results that match or surpass the standard approach used in the field...'
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