Self-Critical Reasoning for Robust Visual Question Answering

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), pp. 8601-8611, 2019.

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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Visual Question Answering (VQA) deep-learning systems tend to capture superficial statistical correlations in the training data because of strong language priors and fail to generalize to test data with a significantly different question-answer (QA) distribution [1]. To address this issue, we introduce a self-critical training objective t...More

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