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AbstractAnswering questions that involve multi-step reasoning requires decomposing them and using the answers of intermediate steps to reach the final answer. However, state-of-the-art models in grounded question answering often do …...
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions
AbstractNeural module networks (NMN) are a popular approach for grounding visual referring expressions. Prior implementations of NMN use pre-defined and fixed textual inputs in their module instantiation. This necessitates a …...