rishikksh20/CrossViT-pytorch
Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
This helps deep learning engineers classify images more accurately by using a multi-scale vision transformer architecture. It takes raw image data as input and outputs a classification for each image. This is primarily used by machine learning practitioners who are building and deploying image classification models.
208 stars. No commits in the last 6 months.
Use this if you are a deep learning engineer looking to implement a Cross-Attention Multi-Scale Vision Transformer for image classification tasks in PyTorch.
Not ideal if you are not a developer or prefer a low-code/no-code solution for image classification.
Stars
208
Forks
19
Language
Python
License
MIT
Category
Last pushed
Apr 07, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/rishikksh20/CrossViT-pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jaehyunnn/ViTPose_pytorch
An unofficial implementation of ViTPose [Y. Xu et al., 2022]
UdbhavPrasad072300/Transformer-Implementations
Library - Vanilla, ViT, DeiT, BERT, GPT
tintn/vision-transformer-from-scratch
A Simplified PyTorch Implementation of Vision Transformer (ViT)
icon-lab/ResViT
Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis
gupta-abhay/pytorch-vit
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale