A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking Hao Chen

Neural Information Processing Systems 

Video salient object ranking aims to simulate the human attention mechanism by dynamically prioritizing the visual attraction of objects in a scene over time. Despite its numerous practical applications, this area remains underexplored. In this work, we propose a graph model for video salient object ranking.

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