Blar i Publikasjoner fra CRIStin - NTNU på emneord "Deep learning"
Viser treff 1-3 av 3
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MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation
(Journal article; Peer reviewed, 2021)Image segmentation is one of the key components in systems performing computer vision recognition tasks. Various algorithms for image segmentation have been developed in the literature. Among them, more recently, deep ... -
SODRet: Instance retrieval using salient object detection for self-service shopping
(Peer reviewed; Journal article, 2024)Self-service shopping technologies have become commonplace in modern society. Although various innovative solutions have been adopted, there is still a gap in providing efficient services to consumers. Recent developments ... -
Supplementing remote sensing of ice: Deep learning-based image segmentation system for automatic detection and localization of sea ice formations from close-range optical images
(Peer reviewed; Journal article, 2021)This paper presents a three-stage approach for the automated analysis of close-range optical images containing ice objects. The proposed system is based on an ensemble of deep learning models and conditional random field ...