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Found 3 papers, 1 papers with code
The Promise of Premise: Harnessing Question Premises in Visual Question Answering
In this paper, we make a simple observation that questions about images often contain premises - objects and relationships implied by the question - and that reasoning about premises can help Visual Question Answering (VQA) models respond more intelligently to irrelevant or previously unseen questions.
Towards Transparent AI Systems: Interpreting Visual Question Answering Models
In this paper, we address the problem of interpreting Visual Question Answering (VQA) models.
CloudCV: Large Scale Distributed Computer Vision as a Cloud Service
We are witnessing a proliferation of massive visual data.
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