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I noticed that you used SAM and Grounding DINO to generate segmentation masks.
Could you please explain how you merge the outputs from SAM and Grounding DINO to create the ground-truth in the GranD-f dataset?
Additionally, could you describe the process of creating the final dense caption?
Is your method fully automated, or does it require manual verification?
I am interested in applying your method to the GranD dataset.
Thank you.
The text was updated successfully, but these errors were encountered:
Hi,
I noticed that you used SAM and Grounding DINO to generate segmentation masks.
Could you please explain how you merge the outputs from SAM and Grounding DINO to create the ground-truth in the GranD-f dataset?
Additionally, could you describe the process of creating the final dense caption?
Is your method fully automated, or does it require manual verification?
I am interested in applying your method to the GranD dataset.
Thank you.
The text was updated successfully, but these errors were encountered: