Context-Based Interpretability for Visual Attention using AI by Javier Martínez  [Spanish]
Channel: Big Things Conference
Date: 09/01/2020

How does the visual representation of the world is structured by the brain? How could it be useful to react adaptively to new situations and scenarios? What if an autonomous system could learn that behavior?

Recent Computer Vision and Deep Learning techniques enable the possibility to solve complex visual problems. One desirable property for most applications is the dynamic adaptation ability of the system to unknown contexts. This ability could be useful in a software production environment, where the data dynamics are business and human behavior dependent, providing flexibility while keeping robustness. This concept upgrades a trainable solution to a self-adaptive solution that we will go through during this talk.

#BIGTH19 #AI #ComputerVision #DeepLearning 

Session presented at Big Things Conference 2019 by Javier Martínez Cebrián, Deep Learning & AI Specialist at BBVA Next Technologies, and Miguel Ángel Fernández, Assistant Professor and Researcher at Carlos III University.

20th November 2019
Kinépolis, Madrid

Do you want to know more? https://www.bigthingsconference.com/