This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Build and improve image classification models using the CvT architecture.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeThis is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
CvT has 609 stars on GitHub. It has been forked 128 times. CvT is written mainly in Python. It has been in active development since 2021. CvT is available under the MIT license. Its main topics are classification, computer-vision, cvt, deep-learning.
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
CvT is an open-source project. It is released under the MIT license.
Yes. CvT is free and open source — you can use, modify and self-host it.
CvT is available under the MIT license.
CvT is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/microsoft-cvt.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.