Search Results for author: Kea Turner

Found 2 papers, 1 papers with code

Attention Mechanism based Cognition-level Scene Understanding

no code implementations • 17 Apr 2022 • Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang

Given a question-image input, the Visual Commonsense Reasoning (VCR) model can predict an answer with the corresponding rationale, which requires inference ability from the real world.

Question Answering Scene Understanding +2

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Interpretable Visual Understanding with Cognitive Attention Network

1 code implementation • 6 Aug 2021 • Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi

While image understanding on recognition-level has achieved remarkable advancements, reliable visual scene understanding requires comprehensive image understanding on recognition-level but also cognition-level, which calls for exploiting the multi-source information as well as learning different levels of understanding and extensive commonsense knowledge.

Scene Understanding Visual Commonsense Reasoning

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