🔥 GroupViT by @nvidia is now available in @huggingface Transformers.
The model is capable of zero-shot semantic segmentation, requiring no pixel-level labels.🤯
For training, only 30M noisy (image, text) pairs were used.
Notebook: tinyurl.com/mrxn9vbx (1/3)
The model is capable of zero-shot semantic segmentation, requiring no pixel-level labels.🤯
For training, only 30M noisy (image, text) pairs were used.
Notebook: tinyurl.com/mrxn9vbx (1/3)
The model can be seen as an extension of @OpenAI's CLIP to semantic segmentation, with a clever grouping in the image encoder.😎
It clearly shows the potential of how language can improve computer vision models!
Docs: huggingface.co/docs/transform…
Models: huggingface.co/models?other=g…
It clearly shows the potential of how language can improve computer vision models!
Docs: huggingface.co/docs/transform…
Models: huggingface.co/models?other=g…
🙏 Shout-out to @Jerry_XU_Jiarui, first author of this paper who contributed the model to the library.
He also created an awesome Space for it (part of #CVPR2022's demo track): huggingface.co/spaces/CVPR/Gr…
(3/3)
He also created an awesome Space for it (part of #CVPR2022's demo track): huggingface.co/spaces/CVPR/Gr…
(3/3)
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