首页|Researchers' from Norwegian University of Science and Technology (NTNU) Report D etails of New Studies and Findings in the Area of Machine Learning (SODRet: Inst ance retrieval using salient object detection for self-service shopping)

Researchers' from Norwegian University of Science and Technology (NTNU) Report D etails of New Studies and Findings in the Area of Machine Learning (SODRet: Inst ance retrieval using salient object detection for self-service shopping)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting from Norwegian University of Scien ce and Technology (NTNU) by NewsRx journalists, research stated, "Selfservice s hopping technologies have become commonplace in modern society. Although various innovative solutions have been adopted, there is still a gap in providing effic ient services to consumers." The news correspondents obtained a quote from the research from Norwegian Univer sity of Science and Technology (NTNU): "Recent developments in mobile applicatio n technologies and internet-of-things devices promote information and knowledge dissemination by integrating innovative services to meet users' needs. We argue that object retrieval applications can be used to provide effective online or se lf-service shopping. Therefore, to fill this technological void, this study aims to propose an object retrieval system using a fusion-based salient object detec tion (SOD) method. The SOD has attracted significant attention, and recently man y heuristic computational models have been developed for object detection. It ha s been widely used in object detection and retrieval applications. This work pro poses an instance retrieval system based on the SOD to find the objects from the commodity datasets. A prediction about the object's position is made using the saliency detection system through a saliency model, and the proposed SODbased r etrieval (SODRet) framework uses saliency maps for retrieving the searched items ."

Norwegian University of Science and Tech nology (NTNU)Machine LearningTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.11)