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Hi all, I'm trying to use the MM-GDINO model for COCO object detection.
I've managed to recreate the 50,4 mAP performance of the zero-shot model, but I can't seem to find the difference between that model and the closed-set trained model that allegedly achieves 58.2% mAP.
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Hi all, I'm trying to use the MM-GDINO model for COCO object detection.
I've managed to recreate the 50,4 mAP performance of the zero-shot model, but I can't seem to find the difference between that model and the closed-set trained model that allegedly achieves 58.2% mAP.
Any ideas?
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