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Vision-Language Pre-training: Basics, Recent Advances, and Future Trends
[article]
2022
arXiv
pre-print
This paper surveys vision-language pre-training (VLP) methods for multimodal intelligence that have been developed in the last few years. We group these approaches into three categories: (i) VLP for image-text tasks, such as image captioning, image-text retrieval, visual question answering, and visual grounding; (ii) VLP for core computer vision tasks, such as (open-set) image classification, object detection, and segmentation; and (iii) VLP for video-text tasks, such as video captioning,
arXiv:2210.09263v1
fatcat:rnir7ntrqbg5vmc7elnhw73ezq