Assessing rotational invariance of graph convolution neural networks for computer vision

This project aims to assess the property of rotational invariance within graph convolution neural networks (graph CNNs) for learning on images. Standard CNNs possess the property of translational invariance due to the sliding nature of the convolution operation and rotational invariance for small an...

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Bibliographic Details
Main Author: Singh, Priyanshu Kumar
Other Authors: Xavier Bresson
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74246
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Institution: Nanyang Technological University
Language: English
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