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Mask2Former is a state-of-the-art deep learning model for image segmentation tasks. It unifies instance segmentation, semantic segmentation, and panoptic segmentation under one framework.
Built on transformer architecture, Mask2Former processes images using masked attention mechanisms, enabling accurate object recognition across varied contexts.
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