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To address the lack of public task-specific data, MaGGIe utilizes synthesized training sets from instance-agnostic sources for robust evaluation and generalization
MaGGIe ensures temporal consistency in video matting using bidirectional Conv-GRU to fuse feature maps and predict coarse alpha mattes
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While prior methods struggle with trimap inaccuracies or single-object assumptions, MaGGIe offers efficient instance matting and enhanced temporal consistency.
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