22 окт. 2020 г. · A pure transformer applied directly to sequences of image patches can perform very well on image classification tasks. |
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The Vision Transformer, or ViT, is a model for image classification that employs a Transformer-like architecture over patches of the image. |
12 янв. 2021 г. · According to table 3, the base model with 16x16 patches ViT-B/16 pre-trained on ImageNet has a Top-1 accuracy around 78 %. According to the ... |
This repository contains an overview of important follow-up works based on the original Vision Transformer (ViT) by Google. |
This paper investigates how to train ViTs with limited data and gives theoretical analyses that the method (based on parametric instance discrimination) is ... |
3 июн. 2021 г. · Our Vision Transformer (ViT) attains excellent results when pre-trained at sufficient scale and transferred to tasks with fewer datapoints. When. |
2 февр. 2024 г. · Our Vision Transformer (ViT) attains excellent results when pre-trained at sufficient scale and transferred to tasks with fewer datapoints. |
Vision Transformer and MLP-Mixer Architectures. In this repository we release models from the papers. The models were pre-trained on the ImageNet and ImageNet- ... Vit_jax.ipynb · Vit_jax_augreg.ipynb · README.md · Pull requests 7 |
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