Robust Visual Reasoning via Language Guided Neural Module Networks Anonymous Author(s) Affiliation Address email

Finally we provide additional results and analysis to supplement Section 4.5 of the main paper. The neural modules take either two visual inputs (binary modules) or one visual input (unary modules). In the original IEP-Ref implementation, there are total 60 distinct modules in IEP-Ref. Contrast Sets, consisting of samples that help in exposing model brittleness by probing a model's In this section, we provide more results comparing the performance of our model with baselines. Specifically, we analyze the model's performance in terms of filtering the objects based on the Results show that our approach significantly outperforms baselines.