Search Results for author: Adam Jacobson

Found 4 papers, 1 papers with code

Filter Early, Match Late: Improving Network-Based Visual Place Recognition

no code implementations21 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.

Visual Place Recognition

Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods

1 code implementation8 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

Deep Learning Features at Scale for Visual Place Recognition

no code implementations18 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.

Visual Place Recognition

Convolutional Neural Network-based Place Recognition

no code implementations6 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.

General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.