While recent developments in autonomous vehicle (AV) technology highlight substantial progress, we lack tools for rigorous and scalable testing.

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In the revision, we shall add the following table on average computational times of all the18 methodsbasedon10replications. Without the Bayesian32 machinery in the paper, we cannot extract the posterior inclusion probabilities for structure recovery using (2.5)33 and provide consequent strong guarantees for graph selection in Theorem 3. iii) For scalability, we compute the34 MAP estimator instead of sampling from the full posterior.

Image matting is an ill-posed problem. It requires a user input trimap or some strokes to obtain an alpha matte of the foreground object.

The second factor is the availability of big data, which oftentimes contain private and sensitive information.

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 itsnumerous practical applications, this area remains underexplored. In this work, we propose a graph model for video salient object ranking.