Robustness and Uncertainty Estimation for Visual Perception in Deep Learning

#deeplearning #machinelearning #robustness #uncertainty #vision

This is a presentation I made on the relation between robustness and uncertainty in computer vision. The video also includes an overview of three important papers in uncertainty estimation in deep learning models:

1) "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?" (Alex Kendall, Yarin Gal)

http://papers.nips.cc/paper/7141-what-uncertainties-do-we-need-in-bayesian-deep-learning-for-computer-vision.pdf

2) "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell)

http://papers.nips.cc/paper/7219-simple-and-scalable-predictive-uncertainty-estimation-using-deep-ensembles.pdf

3) "On Calibration of Modern Neural Networks" (Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger)

https://dl.acm.org/doi/pdf/10.5555/3305381.3305518

OUTLINE:
0:00 Intro & Motivation
4:57 What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
13:50 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
20:09 On Calibration of Modern Neural Networks

You can reach the slides from https://ofkar.github.io/data/Robustness_Uncertainty_SlideDeck.pdf

Видео Robustness and Uncertainty Estimation for Visual Perception in Deep Learning канала Oğuzhan Fatih Kar