Comments (2)
Hi thanks for the question. For example, on the COCO dataset, we use a SOTA detector FocalNet-DINO trained on the COCO dataset as our box prompt generator to produce mask. The box prompt already contains the category information.
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I wonder whether SAM-HQ still has the ability to perform zero-shot labeling by using detector for semantic segmentation.
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Related Issues (20)
- Data Loader throwing FileNotFound error After few epochs of training HOT 1
- About custom dataset. HOT 2
- Some issues in the fine-tuning process HOT 6
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- Hello author, how do you measure loss_mask and loss dice, do you have any references? HOT 2
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