The intrinsic memorability of face photographs.

By Wilma A. Bainbridge, Phillip Isola, Aude Oliva. 2013

396 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition

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Citations in the corpus

Diversity in Faces (2019, methodology): “Many other data sets have been proposed for diﬀerent facial analysis tasks, such as age and gender classiﬁcation [24, 27, 31, 54–56], facial expression analysis [55], memorability [57], attributes [35] and aging [58].”
Censoring Representations with an Adversary (2015, methodology): “We used the ‘10k US Adult Faces’ dataset Bainbridge et al. (2013) consisting of 10,168 natural face photographs.”
What Makes a Photograph Memorable? (2014, neutral): “However, not all images are remembered equally well.”
How We've Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis (2020, methodology): “—10k US Adult Faces [15] Based on an analysis of the coded databases, we present our findings in three sections: (1) the purpose and intended use of databases (see section 5); (2) the implicit race and gender features found in databases (see section 6); and (3) the explicit annotations of race and…”
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face (2015, methodology): “, how long one can remember a specific face, is another high-level concept that has been studied recently [4].”
Beyond Memorability: Visualization Recognition and Recall (2016, background): “Memorability has been demonstrated to be an intrinsic property of scene images [12, 23], faces [3], and graphs [8].”
Modifying the Memorability of Face Photographs (2013, methodology): “Specifically, we randomly sample 505 of the 2222 target images from the 10k US Adult Faces Database and use them as targets, and the remaining as fillers in our experiments.”
Identifying Individual Facial Expressions by Deconstructing a Neural Network (2016, methodology): “Our study is based on the 10k US faces dataset [4].”
Understanding and Predicting Image Memorability at a Large Scale (2015, background): “Interestingly, we also tend to remember and forget the same pictures and faces as each other [1, 13].”