Learning a deeply supervised multi-modal RGB-D embedding for semantic scene and object category recognition

Learning a deeply supervised multi-modal RGB-D embedding for semantic scene and object category recognition

Recognizing semantic category of objects and scenes captured using vision-based sensors is a challenging yet essential capability for mobile robots and UAVs to perform high-level tasks such as long-term autonomous navigation. However, extracting discriminative features from multi-modal inputs, such...

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Bibliographic Details
Main Authors: Mohd Zaki, Hasan Firdaus, Shafait, Faisal, Mian, Ajmal
Format: Article
Language:English
English
Published: Elsevier 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://irep.iium.edu.my/61281/
http://irep.iium.edu.my/61281/1/Learning%20a%20deeply%20supervised%20multi-modal%20RGB-D%20embedding%20for%20semantic%20scene%20and%20object%20category%20recognition.pdf
http://irep.iium.edu.my/61281/7/61281-Learning%20a%20deeply%20supervised%20multi-modal-SCOPUS.pdf

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