202 citations · 291 across the 6 of their papers we have counts for
6 papers
A Holistic Visual Place Recognition Approach using Lightweight CNNs for Significant ViewPoint and Appearance Changes
Ahmad Khaliq, Shoaib Ehsan, Zetao Chen +2
This paper presents a lightweight visual place recognition approach, capable of achieving high performance with low computational cost, and feasible for mobile robotics under signi…
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
Inkyu Sa, Marija Popovic, Raghav Khanna +7
We present a novel weed segmentation and mapping framework that processes multispectral images obtained from an unmanned aerial vehicle (UAV) using a deep neural network (DNN). Mos…
weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming
Inkyu Sa, Zetao Chen, Marija Popovic +4
Selective weed treatment is a critical step in autonomous crop management as related to crop health and yield. However, a key challenge is reliable, and accurate weed detection to…
Generative OpenMax for Multi-Class Open Set Classification
ZongYuan Ge, Sergey Demyanov, Zetao Chen +1
We present a conceptually new and flexible method for multi-class open set classification. Unlike previous methods where unknown classes are inferred with respect to the feature or…
Deep Learning Features at Scale for Visual Place Recognition
Zetao Chen, Adam Jacobson, Niko Sunderhauf +5
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 gen…
Convolutional Neural Network-based Place Recognition
Zetao Chen, Obadiah Lam, Adam Jacobson +1
Recently Convolutional Neural Networks (CNNs) have been shown to achieve state-of-the-art performance on various classification tasks. In this paper, we present for the first time…