DINOv2
lastmod 2026-01-19created 2023-05-266 edits
PyTorch code and models for the DINOv2 self-supervised learning method.
A computer vision model released by Meta AI that is capable of self-supervised learning
Features
- A new method for training high-performance computer vision models
- Delivers strong performance without requiring fine-tuning, so it can be used as a backbone for various computer vision tasks
- Using Self-Supervision, it can learn from any image collection, and can also learn new features such as depth estimation that are not possible with current approaches
See also
- Deep learning
- Meta
- Self-Supervised Vision Transformers with DINO (DiNO)
- Exponential moving average (EMA)
- RF-DETR (Object Detection)
Favorite site
- DINOv2: State-of-the-art computer vision models with self-supervised learning
- facebookresearch/dinov2
- (Paper review) DINOv2: Learning Robust Visual Features without Supervision explained
- (Paper review) DINOv2: Learning Robust Visual Features without Supervision - That Time I Got Reincarnated as an AI