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NVlabs / ODISE

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
https://arxiv.org/abs/2303.04803
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Detail about 'background' class #37

Open develop-productivity opened 1 year ago

develop-productivity commented 1 year ago

Hi, thanks for your great work.

I have a question about the classifier in this paper, I want to know whether you used the 'background' class in the $C_{train}$.

We encode the names of all the categories in Ctrain with the frozen text encoder and define the set of embeddings of all the training categories' names as: Equation4

If you used a background class, is it learnable or fixed?