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Found 4 papers, 1 papers with code
Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models
We demonstrate the results of our algorithm on publicly-available datasets that contain all different hemorrhage types in various sizes and intensities, and our results are compared to earlier unsupervised and supervised algorithms.
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation
Automated computer vision systems have been applied in many domains including security, law enforcement, and personal devices, but recent reports suggest that these systems may produce biased results, discriminating against people in certain demographic groups.
Cost-Sensitive Feature-Value Acquisition Using Feature Relevance
The chosen features should increase the prediction accuracy for a low cost, but determining which features will do that is challenging.
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Images were collected from the YFCC-100M Flickr dataset and labeled with race, gender, and age groups.
Ranked #2 on
Facial Attribute Classification
on FairFace
