YoVDO

Neural-Symbolic VQA - Disentangling Reasoning from Vision and Language Understanding

Offered By: University of Central Florida via YouTube

Tags

Computer Vision Courses Minecraft Courses

Course Description

Overview

Explore the innovative approach to Visual Question Answering (VQA) that disentangles reasoning from vision and language understanding in this 27-minute lecture from the University of Central Florida. Delve into the task breakdown, architecture overview, and key components such as question parsing and program execution. Examine quantitative results on CLEVR and CLEVR-Humans datasets, and discover how this neural-symbolic method extends to new scenes like Minecraft. Gain insights into the future of AI systems that can effectively combine reasoning with visual and linguistic comprehension.

Syllabus

Intro
Visual Question Answering
Task Breakdown
Architecture Overview
Question Parsing
Program Execution
Training
Quantitative results on CLEVR
CLEVR-Humans & Results
New Scenes: Minecraft
Summary


Taught by

UCF CRCV

Tags

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Computational Photography
Georgia Institute of Technology via Coursera
Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera
Introduction to Computer Vision
Georgia Institute of Technology via Udacity