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A new open-license dataset of 2,000 diverse videos with corresponding mouse-tracking saliency data provides a valuable benchmark for advancing video saliency prediction models.
Achieve state-of-the-art hybrid nearest neighbor search by explicitly modeling and mitigating data heterogeneity, a problem often overlooked in existing approaches.
