OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended Domains

8 Feb 2019 Hamidreza Kasaei

Service robots are expected to be more autonomous and efficiently work in human-centric environments. For this type of robots, open-ended object recognition is a challenging task due to the high demand for two essential capabilities: (i) the accurate and real-time response, and (ii) the ability to learn new object categories from very few examples on-site... (read more)

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