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Activity Number: 362 - What Can Statistical Graphics Speak to Us About Deep Learning and Complex Models?
Type: Invited
Date/Time: Thursday, August 12, 2021 : 12:00 PM to 1:50 PM
Sponsor: Section on Statistical Graphics
Abstract #316657
Title: How Do You Define a Circle? Perception and Computer Vision Diagnostics
Author(s): Susan VanderPlas*
Companies: University of Nebraska - Lincoln
Keywords: machine learning; computer vision; visualization; graphics; perception; cognition
Abstract:

Neural Networks are very complicated and very useful models for image recognition, but they are generally used to recognize very complex and multifaceted stimuli, like cars or people. When neural networks are used to recognize simpler objects with overlapping feature sets, things can go a bit haywire. In this talk, we'll discuss a model built for applications in statistical forensics which uncovered some very interesting problems between model-based perception and human perception. I will show visual diagnostics which provide insight into the model, and talk about ways we might address the discrepancy between human perception and model perception to produce more accurate and useful model predictions.


Authors who are presenting talks have a * after their name.

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