Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
Train a model to identify and categorize images based on text descriptions without needing labeled images.
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 anytimeOfficial PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
GroupViT has 788 stars on GitHub. It has been forked 56 times. GroupViT is written mainly in Python. It has been in active development since 2022. Its main topics are image-text-matching, semantic-segmentation, transformers, zero-shot-learning.
Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
GroupViT is an open-source project.
Yes. GroupViT is free and open source — you can use, modify and self-host it.
GroupViT is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/nvlabs-groupvit.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.