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Found 5 papers, 2 papers with code
Understanding the Perceived Quality of Video Predictions
We show that our feature design leads to state of the art quality prediction in accordance with human judgments on our IISc PVQA Database.
Human peripheral blur is optimal for object recognition
Our vision is sharpest at the center of our gaze and becomes progressively blurry into the periphery.
Can you tell where in India I am from? Comparing humans and computers on fine-grained race face classification
We have developed a novel face database of close to 1650 diverse Indian faces labeled for fine-grained race (South vs North India) as well as for age, weight, height and gender.
Deep neural networks can be improved using human-derived contextual expectations
To measure contextual expectations, we asked human subjects to indicate the scale, location and likelihood at which cars or people might occur in scenes without these objects.
Do Computational Models Differ Systematically From Human Object Perception?
Recent advances in neural networks have revolutionized computer vision, but these algorithms are still outperformed by humans.
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