VLP: A Survey on Vision-language Pre-training

doi:10.1007/s11633-022-1369-5

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	VLP: A Survey on Vision-language Pre-training
	Fei-Long Chen 2,3
刊名	Machine Intelligence Research
	2023
卷号	20 期号:1 页码:38-56
关键词	Vision and language pre-training transformers multimodal learning representation learning
ISSN号	2731-538X
DOI	10.1007/s11633-022-1369-5
英文摘要	In the past few years, the emergence of pre-training models has brought uni-modal fields such as computer vision (CV) and natural language processing (NLP) to a new era. Substantial works have shown that they are beneficial for downstream uni-modal tasks and avoid training a new model from scratch. So can such pre-trained models be applied to multi-modal tasks? Researchers have explored this problem and made significant progress. This paper surveys recent advances and new frontiers in vision-language pre-training (VLP), including image-text and video-text pre-training. To give readers a better overall grasp of VLP, we first review its recent advances in five aspects: feature extraction, model architecture, pre-training objectives, pre-training datasets, and downstream tasks. Then, we summarize the specific VLP models in detail. Finally, we discuss the new frontiers in VLP. To the best of our knowledge, this is the first survey focused on VLP. We hope that this survey can shed light on future research in the VLP field.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/50899]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 2.School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China 3.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
推荐引用方式 GB/T 7714	Fei-Long Chen. VLP: A Survey on Vision-language Pre-training[J]. Machine Intelligence Research,2023,20(1):38-56.
APA	Fei-Long Chen.(2023).VLP: A Survey on Vision-language Pre-training.Machine Intelligence Research,20(1),38-56.
MLA	Fei-Long Chen."VLP: A Survey on Vision-language Pre-training".Machine Intelligence Research 20.1(2023):38-56.