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Found 5 papers, 1 papers with code
Using Human Perception to Regularize Transfer Learning
Recent trends in the machine learning community show that models with fidelity toward human perceptual measurements perform strongly on vision tasks.
Psychophysical-Score: A Behavioral Measure for Assessing the Biological Plausibility of Visual Recognition Models
This article proposes a state-of-the-art procedure that generates a new metric, Psychophysical-Score, which is grounded in visual psychophysics and is capable of reliably estimating perceptual responses across numerous models -- representing a large range in complexity and biological inspiration.
Measuring Human Perception to Improve Open Set Recognition
The human ability to recognize when an object belongs or does not belong to a particular vision task outperforms all open set recognition algorithms.
Guiding Machine Perception with Psychophysics
{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 science.
Multi-resolution Outlier Pooling for Sorghum Classification
Automated high throughput plant phenotyping involves leveraging sensors, such as RGB, thermal and hyperspectral cameras (among others), to make large scale and rapid measurements of the physical properties of plants for the purpose of better understanding the difference between crops and facilitating rapid plant breeding programs.
