Learning to rank salient objects using transformers and graph reasoning

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Learning to rank salient objects using transformers and graph reasoning

This thesis explores the domain of salient object detection, aiming to find the most visually important objects within a given image. Many of the current approaches have focused on datasets with many images containing only a single salient object located towards the center. We focus here on the more...

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Bibliographic Details
Main Author:	Bowen, Deng
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2025
Subjects:	saliency salient object detection saliency ranking multiple salient object detection transformers graph neural networks
Online Access:	https://eprints.nottingham.ac.uk/77925/

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