A novel multi-modal image retrieval system

Researchers from Gwangju Institute of Science and Technology in Korea, have developed a new image retrieval system called DenseBert4Ret, which uses deep learning for image and text feature extraction from a dual-mode input query, with potential applications in e-commerce, computer vision, and medicine. Credit: Moongu Jeon from Gwangju Institute of Science and Technology, Korea

With the amount of information on the internet increasing by the minute, and retrieving meaningful data from it is sometimes like trying to find a needle in a haystack. Content-based image retrieval (CBIR) systems are capable of retrieving desired images based on the user’s input …
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