no code implementations • 21 Jun 2019 • Stephen Hausler, Adam Jacobson, Michael Milford
Our key innovation is to filter the feature maps in an early convolutional layer, but then continue to run the network and extract a feature vector using a later layer in the same network.
1 code implementation • 8 Mar 2019 • Stephen Hausler, Adam Jacobson, Michael Milford
In this paper we address these shortcomings with a novel "multi-sensor" fusion approach applied to multiple image processing methods for a single visual image stream, combined with a dynamic sequence matching length technique and an automatic processing method weighting scheme.
Robotics
no code implementations • 18 Jan 2017 • Zetao Chen, Adam Jacobson, Niko Sunderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian Reid, Michael Milford
The success of deep learning techniques in the computer vision domain has triggered a range of initial investigations into their utility for visual place recognition, all using generic features from networks that were trained for other types of recognition tasks.
no code implementations • 6 Nov 2014 • Zetao Chen, Obadiah Lam, Adam Jacobson, Michael Milford
Recently Convolutional Neural Networks (CNNs) have been shown to achieve state-of-the-art performance on various classification tasks.