A Closer Look at the Robustness of Vision-and-Language Pre-trained Models

15 Dec 2020 Linjie Li Zhe Gan Jingjing Liu

Large-scale pre-trained multimodal transformers, such as ViLBERT and UNITER, have propelled the state of the art in vision-and-language (V+L) research to a new level. Although achieving impressive performance on standard tasks, to date, it still remains unclear how robust these pre-trained models are... (read more)

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Representation Learning