Part-based object retrieval in cluttered environment
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Updated: Jul 16, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
Published on: December 15, 2023
Yanling Chi1, Maylor K H Leung
1School of Computer Engineering, Nanyang Technological University, Singapore. chiyanling@pmail.ntu.edu.sg
Abstract:
A novel local structural approach, which is a sequel to our previous work, is proposed in this paper for object retrieval in a cluttered and occluded environment without identifying the outlines of an object. It works by first extracting consistent and structurally unique local neighborhood from inputs or models and then voting on the optimal matches employing dynamic programming and a novel hypercube-based indexing structure. The proposed concepts have been tested on a database with thousands of images and compared with the six nearest-neighbors shape description with superior results.
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