Feb 19, 2020 · In this paper, we investigate whether visual question answering (VQA) systems trained to answer a question about an image, are able to answer ...
In this paper, we analyze VQA systems under this Lens of Logic (LOL) and develop a model that can answer such questions reflecting human logical inference. We ...
VQA-LOL Visual Question Answering under the Lens of Logic · VQA models struggle at negation, antonyms, conjunction, disjunction! · We provide dataset, a new model ...
We propose our Lens of Logic (LOL) model which uses question-attention and logic-attention to understand logical connectives in the question, and a novel ...
Feb 19, 2020 · This paper proposes a model which uses question-attention and logic-att attention to understand logical connectives in the question, ...
Nov 12, 2020 · Logical connectives and their implications on the meaning of a natural language sentence are a fundamental aspect of understanding.
Feb 19, 2020 · In this paper, we investigate visual question answering (VQA) through the lens of logical transformation and posit that systems that seek to answer questions ...
VQA-LOL: Visual Question Answering under the Lens of Logic. ECCV 2020. Webpage: https://www.public.asu.edu/~tgokhale/vqa_lol.html. Dataset: https://drive ...
In our paper, we investigated visual question answering. (VQA) through the lens of logical transformation. We showed that state- of-the-art VQA models are ...
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Feb 26, 2020 · We propose our Lens of Logic (LOL) model which uses question-attention and logic-attention to understand logical connectives in the question, ...