Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

ICCV 2019 Wenguan WangXiankai LuJianbing ShenDavid CrandallLing Shao

This work proposes a novel attentive graph neural network (AGNN) for zero-shot video object segmentation (ZVOS). The suggested AGNN recasts this task as a process of iterative information fusion over video graphs... (read more)

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