331 citations · 761 across the 49 of their papers we have counts for
6 papers · 2 filters
Using Human Perception to Regularize Transfer Learning
Justin Dulay, Walter J. Scheirer
Recent trends in the machine learning community show that models with fidelity toward human perceptual measurements perform strongly on vision tasks. Likewise, human behavioral mea…
Psychophysical-Score: A Behavioral Measure for Assessing the Biological Plausibility of Visual Recognition Models
Brandon RichardWebster, Justin Dulay, Anthony DiFalco +2
For the last decade, convolutional neural networks (CNNs) have vastly superseded their predecessors in nearly all vision tasks in artificial intelligence, including object recognit…
Measuring Human Perception to Improve Open Set Recognition
Jin Huang, Derek Prijatelj, Justin Dulay +1
The human ability to recognize when an object belongs or does not belong to a particular vision task outperforms all open set recognition algorithms. Human perception as measured b…
Analyzing the Impact of Shape & Context on the Face Recognition Performance of Deep Networks
Sandipan Banerjee, Walter Scheirer, Kevin Bowyer +1
In this article, we analyze how changing the underlying 3D shape of the base identity in face images can distort their overall appearance, especially from the perspective of deep f…
Guiding Machine Perception with Psychophysics
Justin Dulay, Sonia Poltoratski, Till S. Hartmann +2
{G}{ustav} Fechner's 1860 delineation of psychophysics, the measurement of sensation in relation to its stimulus, is widely considered to be the advent of modern psychological scie…
Motif Mining: Finding and Summarizing Remixed Image Content
William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael +3
On the internet, images are no longer static; they have become dynamic content. Thanks to the availability of smartphones with cameras and easy-to-use editing software, images can…