# DINOv2 pre-training

A vision transformer model based on the Transformer architecture, trained using the DINOv2 method and introducing a register mechanism to solve the artifact problem of traditional ViT models.

A visual Transformer (ViT) image feature model with registers, pre-trained using the self-supervised DINOv2 method on the LVD-142M dataset.

A Vision Transformer (ViT) image feature model with registers, pre-trained using self-supervised DINOv2 method on the LVD-142M dataset.

A visual transformer (ViT) image feature model with registers, pre-trained using the self-supervised DINOv2 method on the LVD-142M dataset.

A vision Transformer (ViT)-based image feature model pre-trained using self-supervised DINOv2 method on the LVD-142M dataset

A self-supervised image feature model based on Vision Transformer (ViT), pre-trained using the DINOv2 method on the LVD-142M dataset, suitable for image classification and feature extraction tasks.

A giant vision Transformer (ViT)-based image feature extraction model, pre-trained using self-supervised DINOv2 method on the LVD-142M dataset

A Vision Transformer (ViT)-based image feature model, pre-trained using self-supervised DINOv2 method on the LVD-142M dataset