3 citations · 8 across the 5 of their papers we have counts for
5 papers
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For the last decade, convolutional neural networks (CNNs) have vastly superseded their predecessors in nearly all vision tasks in artificial intelligence, including object recognit…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…
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…
Multi-resolution Outlier Pooling for Sorghum Classification
Chao Ren, Justin Dulay, Gregory Rolwes +3
Automated high throughput plant phenotyping involves leveraging sensors, such as RGB, thermal and hyperspectral cameras (among others), to make large scale and rapid measurements o…