Re-Attention for Visual Question Answering

A simultaneous understanding of questions and images is crucial in Visual Question Answering (VQA). While the existing models have achieved satisfactory performance by associating questions with key objects in images, the answers also contain rich information that can be used to describe the visual...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 15., Seite 6730-6743
1. Verfasser: Guo, Wenya (VerfasserIn)
Weitere Verfasser: Zhang, Ying, Yang, Jufeng, Yuan, Xiaojie
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article