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

• 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/61281/1/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; http://irep.iium.edu.my/61281/; https://www.sciencedirect.com/science/article/pii/S0921889016304225

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...