Overcoming language priors with self-supervised learning for visual question answering

X Zhu, Z Mao, C Liu, P Zhang, B Wang… - arXiv preprint arXiv …, 2020 - arxiv.org
Most Visual Question Answering (VQA) models suffer from the language prior problem,
which is caused by inherent data biases. Specifically, VQA models tend to answer questions …
被引用次数：106 相关文章

Overcoming language priors with self-supervised learning for visual question answering

X Zhu, Z Mao, C Liu, P Zhang, B Wang… - Proceedings of the …, 2021 - dl.acm.org
Most Visual Question Answering (VQA) models suffer from the language prior problem,
which is caused by inherent data biases. Specifically, VQA models tend to answer questions …

Overcoming Language Priors with Self-supervised Learning for Visual Question Answering

X Zhu, Z Mao, C Liu, P Zhang, B Wang… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Abstract Most Visual Question Answering (VQA) models suffer from the language prior
problem, which is caused by inherent data biases. Specifically, VQA models tend to answer …
[PDF] archive.org

[PDF][PDF] Overcoming Language Priors with Self-supervised Learning for Visual Question Answering

X Zhu, Z Mao, C Liu, P Zhang, B Wang, Y Zhang - scholar.archive.org
Most Visual Question Answering (VQA) models suffer from the language prior problem,
which is caused by inherent data biases. Specifically, VQA models tend to answer questions …
[PDF] ijcai.org

[PDF][PDF] Overcoming Language Priors with Self-supervised Learning for Visual Question Answering

X Zhu, Z Mao, C Liu, P Zhang, B Wang, Y Zhang - ijcai.org
Most Visual Question Answering (VQA) models suffer from the language prior problem,
which is caused by inherent data biases. Specifically, VQA models tend to answer questions …