82 - Visual Reasoning, with Yoav Artzi

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