{"total":16,"rows":[{"id":"2207.02942","title":"Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm","created":"2022-07-06","cited_by_count":35,"area":null},{"id":"2406.00783","title":"AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark","created":"2024-06-02","cited_by_count":28,"area":null},{"id":"2305.09073","title":"Consensus and Subjectivity of Skin Tone Annotation for ML Fairness","created":"2023-05-16","cited_by_count":22,"area":null},{"id":"2110.09839","title":"Measuring Hidden Bias within Face Recognition via Racial Phenotypes","created":"2021-10-19","cited_by_count":16,"area":null},{"id":"2106.11240","title":"Reliability and Validity of Image-Based and Self-Reported Skin Phenotype Metrics","created":"2021-06-18","cited_by_count":15,"area":null},{"id":"2305.09072","title":"Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets","created":"2023-05-15","cited_by_count":11,"area":null},{"id":"2305.00817","title":"Racial Bias within Face Recognition: A Survey","created":"2023-05-01","cited_by_count":9,"area":null},{"id":"2509.10980","title":"TrueSkin: Towards Fair and Accurate Skin Tone Recognition and Generation","created":"2025-09-13","cited_by_count":2,"area":null},{"id":"2304.07175","title":"Exploring Causes of Demographic Variations In Face Recognition Accuracy","created":"2023-04-14","cited_by_count":1,"area":null},{"id":"2309.05180","title":"What's color got to do with it? Face recognition in grayscale","created":"2023-09-11","cited_by_count":1,"area":null},{"id":"2506.11627","title":"Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression","created":"2025-06-13","cited_by_count":1,"area":null},{"id":"2305.11265","title":"Multi-Focus Image Fusion Based on Spatial Frequency(SF) and Consistency Verification(CV) in DCT Domain","created":"2023-05-18","cited_by_count":0,"area":null},{"id":"2503.20108","title":"Peepers & Pixels: Human Recognition Accuracy on Low Resolution Faces","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2512.08733","title":"Mitigating Individual Skin Tone Bias in Skin Lesion Classification through Distribution-Aware Reweighting","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2603.02475","title":"Skin Tone in the Wild: A Dataset and Benchmark for 10-tone MST Classification","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2608.18969","title":"Fuzzy Accuracy Compensates for Label Subjectivity in Classification of Skin Tone Using Wearable Photoplethysmography Signals","created":"2026-08-19","cited_by_count":0,"area":null}],"next_cursor":null}