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Structured multimodal attentions for textvqa.arXiv preprint arXiv:2006.00753,

Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton van den Hengel, Qi Wu · 2006 · arXiv 2006.00753

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GIT: A Generative Image-to-text Transformer for Vision and Language

cs.CV · 2022-05-27 · unverdicted · novelty 5.0

GIT achieves new state-of-the-art results on 12 vision-language benchmarks, including surpassing human performance on TextCaps, via a simplified single-encoder single-decoder transformer scaled on large pre-training data.

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  • GIT: A Generative Image-to-text Transformer for Vision and Language cs.CV · 2022-05-27 · unverdicted · none · ref 10

    GIT achieves new state-of-the-art results on 12 vision-language benchmarks, including surpassing human performance on TextCaps, via a simplified single-encoder single-decoder transformer scaled on large pre-training data.