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Found 3 papers, 2 papers with code
Modeling Score Distributions and Continuous Covariates: A Bayesian Approach
In biometric verification, model performance over continuous covariates---real-number attributes of images that affect performance---is particularly challenging to study.
A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition Tasks
An interesting development in automatic visual recognition has been the emergence of tasks where it is not possible to assign objective labels to images, yet still feasible to collect annotations that reflect human judgements about them.
Predicting First Impressions with Deep Learning
Psychologists believe that these judgements are based on a variety of factors such as emotional states, personality traits, and other physiognomic cues.
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