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What is the difference between the provided model weights: "coco_finetuned_mask_256_ffs" and "coco_finetuned_mask_256"
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From the results, it seems that the "coco_finetuned_mask_256_ffs" is trained without ground-truth hints provided, while the "coco_finetuned_mask_256" is trained with ground-truth hints used. But the strange thing is that the results shown in the paper are more likely to the latter. Is that true?