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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.
A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.
