GQA деректер жиынтығы

material ID: gqadataset

Related Papers

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractVision-and-language reasoning requires an understanding of visual concepts, language semantics, and, most importantly, the alignment and relationships between these two modalities. We thus propose the LXMERT (Learning Cross-Modality Encoder Representations …...

9008

LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe predominant approach of visual question answering (VQA) relies on encoding the imageand question with a ”black box” neural encoder and decoding a single token into answers suchas ”yes” or …...

5577