Transfer of Learning from Vision to Touch: A Hybrid Deep Convolutional Neural Network for Visuo-Tactile 3D Object Recognition

Transfer of Learning from Vision to Touch: A Hybrid Deep Convolutional Neural Network for Visuo-Tactile 3D Object Recognition

Transfer of learning or leveraging a pre-trained network and fine-tuning it to perform new tasks has been successfully applied in a variety of machine intelligence fields, including computer vision, natural language processing and audio/speech recognition. Drawing inspiration from neuroscience resea...

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Bibliographic Details
Main Authors: Ghazal Rouhafzay, Ana-Maria Cretu, Pierre Payeur
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
3D object recognition
transfer learning
machine intelligence
convolutional neural networks
tactile sensors
force-sensing resistor
Online Access:https://www.mdpi.com/1424-8220/21/1/113

Internet

https://www.mdpi.com/1424-8220/21/1/113

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