Computational insights into human perceptual expertise for familiar and unfamiliar face recognition.

Finally, in addition to demonstrating that unfamiliar face identity processing was less robust than that of familiarized faces, Megreya and Burton (2006) demonstrated that upright unfamiliar and familiar face matching accuracy correlated only weakly and non-significantly ( r = .277, p > .05), whereas the correlation between performance on upright unfamiliar face matching and inverted familiar face matching was strong and highly significant ( r = .673, p < .01), leading the authors to title their article Unfamiliar faces are not faces .

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In the first session, humans showed a trend toward better performance than the DCNN ( t = 1.82, p = 0.0824) at this unfamiliar verification task.

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