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title
Vision and Reasoning
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Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering Somak Aditya, Yezhou Yang, Chitta Baral ABSTRACT: Many vision and language tasks require commonsense reasoning be
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Vision and Reasoning
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2026-02-23 04:14:10
raw text
Vision and Reasoning Skip to content Vision and Reasoning ☰ Menu Home Contact Blog Facebook LinkedIn Twitter Instagram Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering Somak Aditya , Yezhou Yang , Chitta Baral ABSTRACT: Many vision and language tasks require commonsense reasoning beyond data-driven image and natural language processing. Here we adopt Visual Question Answering (VQA) as an example task, where a system is expected to answer a question in natural language about an image. Current state-of-the-art systems attempted to solve the task using deep neural architectures and achieved promising performance. However, the resulting systems are generally opaque and they struggle in understanding questions for which extra knowledge is required. In this paper, we present an explicit reasoning layer on top of a set of penultimate neural network based systems. The reasoning layer enables reasoning and answering questions...
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