US Patent Application 18141340. CONTRASTIVE CAPTIONING NEURAL NETWORKS simplified abstract
Contents
CONTRASTIVE CAPTIONING NEURAL NETWORKS
Organization Name
Inventor(s)
Jiahui Yu of Jersey City NJ (US)
Zirui Wang of San Francisco CA (US)
Vijay Vasudevan of Los Altos Hills CA (US)
Ho Man Yeung of Mountain View CA (US)
Seyed Mojtaba Seyedhosseini Tarzjani of Foster City CA (US)
CONTRASTIVE CAPTIONING NEURAL NETWORKS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18141340 titled 'CONTRASTIVE CAPTIONING NEURAL NETWORKS
Simplified Explanation
- This patent application is about methods, systems, and apparatus for processing multi-modal inputs using contrastive captioning neural networks. - The invention involves computer programs encoded on computer storage media. - The purpose is to improve the processing of multi-modal inputs, which are inputs that involve multiple modes of communication such as text, images, and audio. - The invention utilizes contrastive captioning neural networks, which are a type of artificial intelligence model that can generate captions for images or other visual inputs. - The patent application covers various aspects of the invention, including the methods, systems, and apparatus used in the processing of multi-modal inputs. - The invention may have applications in fields such as computer vision, natural language processing, and multimedia analysis. - The patent application does not provide a specific title for the invention.
Original Abstract Submitted
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing multi-modal inputs using contrastive captioning neural networks.
