Zobrazeno 1 - 10
of 55
pro vyhledávání: '"King, Michael C."'
Autor:
Wu, Haiyu, Tian, Sicong, Bhatta, Aman, Gutierrez, Jacob, Bezold, Grace, Argueta, Genesis, Ricanek Jr., Karl, King, Michael C., Bowyer, Kevin W.
Face Recognition models are commonly trained with web-scraped datasets containing millions of images and evaluated on test sets emphasizing pose, age and mixed attributes. With train and test sets both assembled from web-scraped images, it is critica
Externí odkaz:
http://arxiv.org/abs/2405.15965
Most studies to date that have examined demographic variations in face recognition accuracy have analyzed 1-to-1 matching accuracy, using images that could be described as "government ID quality". This paper analyzes the accuracy of 1-to-many facial
Externí odkaz:
http://arxiv.org/abs/2309.04447
As virtual and physical identity grow increasingly intertwined, the importance of privacy and security in the online sphere becomes paramount. In recent years, multiple news stories have emerged of private companies scraping web content and doing res
Externí odkaz:
http://arxiv.org/abs/2305.06307
Autor:
Pangelinan, Gabriella, Krishnapriya, K. S., Albiero, Vitor, Bezold, Grace, Zhang, Kai, Vangara, Kushal, King, Michael C., Bowyer, Kevin W.
In recent years, media reports have called out bias and racism in face recognition technology. We review experimental results exploring several speculated causes for asymmetric cross-demographic performance. We consider accuracy differences as repres
Externí odkaz:
http://arxiv.org/abs/2304.07175
Autor:
Wu, Haiyu, Bezold, Grace, Günther, Manuel, Boult, Terrance, King, Michael C., Bowyer, Kevin W.
We report the first systematic analysis of the experimental foundations of facial attribute classification. Two annotators independently assigning attribute values shows that only 12 of 40 common attributes are assigned values with >= 95% consistency
Externí odkaz:
http://arxiv.org/abs/2210.07356
It is broadly accepted that there is a "gender gap" in face recognition accuracy, with females having higher false match and false non-match rates. However, relatively little is known about the cause(s) of this gender gap. Even the recent NIST report
Externí odkaz:
http://arxiv.org/abs/2206.04867
We explore varying face recognition accuracy across demographic groups as a phenomenon partly caused by differences in face illumination. We observe that for a common operational scenario with controlled image acquisition, there is a large difference
Externí odkaz:
http://arxiv.org/abs/2206.01881
Media reports have accused face recognition of being ''biased'', ''sexist'' and ''racist''. There is consensus in the research literature that face recognition accuracy is lower for females, who often have both a higher false match rate and a higher
Externí odkaz:
http://arxiv.org/abs/2112.14656
Autor:
Harrell, Cody E., Burns, Gary N., King, Michael C., Ridgway, William B., Vangara, Kushal, Hesson, Zachary B., Edkins, Vanessa A., Morgan, Charles A., III
Publikováno v:
In Personality and Individual Differences July 2024 225
News reports have suggested that darker skin tone causes an increase in face recognition errors. The Fitzpatrick scale is widely used in dermatology to classify sensitivity to sun exposure and skin tone. In this paper, we analyze a set of manual Fitz
Externí odkaz:
http://arxiv.org/abs/2104.14685