10 citations · 16 across the 4 of their papers we have counts for
3 papers · 1 filter
Twin identification over viewpoint change: A deep convolutional neural network surpasses humans
Connor J. Parde, Virginia E. Strehle, Vivekjyoti Banerjee +4
Deep convolutional neural networks (DCNNs) have achieved human-level accuracy in face identification (Phillips et al., 2018), though it is unclear how accurately they discriminate…
Face Identification Proficiency Test Designed Using Item Response Theory
Géraldine Jeckeln, Ying Hu, Jacqueline G. Cavazos +5
Measures of face-identification proficiency are essential to ensure accurate and consistent performance by professional forensic face examiners and others who perform face-identifi…
Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
Jacqueline G. Cavazos, P. Jonathon Phillips, Carlos D. Castillo +1
Previous generations of face recognition algorithms differ in accuracy for images of different races (race bias). Here, we present the possible underlying factors (data-driven and…