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AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry
In the insurance industry detecting fraudulent claims is a critical task with a significant financial impact.
Detecting unseen visual relations using analogies
We seek to detect visual relations in images of the form of triplets t = (subject, predicate, object), such as "person riding dog", where training examples of the individual entities are available but their combinations are unseen at training.
Weakly-supervised learning of visual relations
This paper introduces a novel approach for modeling visual relations between pairs of objects.
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