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material ID: visualcues

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A negative case analysis of visual grounding methods for VQA

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractExisting Visual Question Answering (VQA) methods tend to exploit dataset biases and spurious statistical correlations, instead of producing right answers for the right reasons. To address this issue, recent bias …...

37244

Flat Multi-modal Interaction Transformer for Named Entity Recognition

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractMulti-modal named entity recognition (MNER) aims at identifying entity spans and recognizing their categories in social media posts with the aid of images. However, in dominant MNER approaches, the interaction …...

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VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractNeural module networks (NMN) have achieved success in image-grounded tasks such as Visual Question Answering (VQA) on synthetic images. However, very limited work on NMN has been studied in the …...

21160