In this episode, Yoav Artzi joins us to talk about visual reasoning. We start by defining what visual reasoning is, then discuss the pros and cons of different tasks and datasets. We discuss some of the models used for visual reasoning and how they perform, before ending with open questions in this young, exciting research area.

Yoav Artzi: https://yoavartzi.com/

NLVR: https://github.com/clic-lab/nlvr/tree/master/nlvr

NLVR2: https://github.com/clic-lab/nlvr/tree/master/nlvr2

CLEVR dataset: https://cs.stanford.edu/people/jcjohns/clevr/

VQA: https://visualqa.org/

GQA: https://cs.stanford.edu/people/dorarad/gqa/index.html

Neural module networks: https://arxiv.org/abs/1511.02799