Towards robust visual question answering: Making the most of biased samples via contrastive learning

Q Si, Y Liu, F Meng, Z Lin, P Fu, Y Cao, W Wang… - arXiv preprint arXiv …, 2022 - arxiv.org
Models for Visual Question Answering (VQA) often rely on the spurious correlations, ie, the
language priors, that appear in the biased samples of training set, which make them brittle …
被引用次数：16 相关文章

Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning

Q Si, Y Liu, F Meng, Z Lin, P Fu, Y Cao… - Findings of the …, 2022 - aclanthology.org
Abstract Models for Visual Question Answering (VQA) often rely on the spurious correlations,
ie, the language priors, that appear in the biased samples of training set, which make them …

Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning

Q Si, Y Liu, F Meng, Z Lin, P Fu, Y Cao… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Abstract Models for Visual Question Answering (VQA) often rely on the spurious correlations,
ie, the language priors, that appear in the biased samples of training set, which make them …