KB-VLP: Knowledge Based Vision and Language Pretraining

By Kezhen Chen, Qiuyuan Huang, Yonatan Bisk, Daniel J. McDuff, Jianfeng Gao. 2021

Subfields: Multimodal Learning, Knowledge Graphs & Representation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Multimodal Learning

1. Yonatan Bisk
2. Jianfeng Gao
3. Qiuyuan Huang
4. Alexander G. Hauptmann
5. Zhe Gan
6. Lijuan Wang
7. Chunyuan Li
8. Jianwei Yang

In Knowledge Graphs & Representation

1. Jianfeng Gao

Citations in the corpus

• KAT: A Knowledge Augmented Transformer for Vision-and-Language (2021, methodology): “, 2021), Microsoft (Chen et al., 2021a; Yang et al., 2022) and OCR (Luo et al.”
• VLP: A Survey on Vision-language Pre-training (2022, unknown): “Some other works, such as AudioCLIP [142] and MERLOT Reserve [143], also shows their unique approaches to learn the cross-modal representations over three modalities.”