# ViT backbone network

A Vision Transformer (ViT) based image classification model, pretrained on ImageNet-21k by Google Research using JAX framework and later ported to PyTorch. Suitable for feature extraction and fine-tuning scenarios.

An image classification model based on Vision Transformer (ViT), pre-trained on ImageNet-21k, suitable for feature extraction and fine-tuning scenarios.

Segment-Anything Vision Transformer (SAM ViT) image feature model, containing only feature extraction and fine-tuning capabilities, without the segmentation head.

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

Vision Transformer (ViT) based image feature extraction model, pre-trained on ImageNet-1k dataset using self-supervised masked autoencoder (MAE) method