AI BriefingLG AI Research: On-Site Sketch from CVPR 2022
Key point
LG AI Research participated in CVPR 2022, showcasing multimodal representation learning and L-Verse research.
Details
At CVPR 2022, held in New Orleans last June, LG AI Research experienced the forefront of vision research while operating a corporate booth. At this conference, Multimodal Representation Learning, which integrates various data such as text and sound beyond visual information, emerged as a major topic of discussion.
As a key research case introduced, MERLOT Reserve is a method that simultaneously learns image, text subtitle, and audio information within videos through a single Transformer model. Trained using 20 million video data points, this model proved superior performance in Video Question Answering (VQA) and Visual Commonsense Reasoning (VCR) related tasks compared to existing image- and text-centric models.
Additionally, LG AI Research gave an oral and poster presentation on L-Verse, which centers on bidirectional generation between images and text. This research shows the latest direction of development in the field of Large Vision-Language Models (LVLM), and from the perspective that all data in the digital world ultimately consists of 0s and 1s, it presents an answer to how multimodal data can be analyzed in an integrated way.
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