The multi-modal understanding and image positioning model LEGO jointly launched by ByteDance and Fudan University has brought significant progress to the multi-modal field. The model is capable of processing multiple data types such as images, audio and video, and can not only understand multi-modal information, but also accurately locate the location of objects and identify the timing of specific events in video and the source of specific sounds in audio. Its application prospects are broad, covering many fields such as content creation, education, entertainment and security monitoring.
Bytedance's multi-modal understanding and image positioning model LEGO, jointly developed by ByteDance and Fudan University, has multiple input processing capabilities, including images, audio and video. LEGO can not only understand multi-modal data, but also accurately locate the location of objects, point out the time when specific events occur in videos, and identify the source of specific sounds in audio. It has a wide range of application fields, including content creation, education, entertainment, and security monitoring. The working principle of the project involves multi-modal data processing, feature extraction, fusion and context analysis, bringing major breakthroughs in the fields of multi-modal understanding and image positioning.
The emergence of the LEGO model marks a new breakthrough in multi-modal understanding technology. Its powerful functions and wide application prospects give it great potential in future development. We look forward to LEGO showing its strong capabilities in more areas.