1 citations · 1 across the 4 of their papers we have counts for
5 papers
Australian Supermarket Object Set (ASOS): A Benchmark Dataset of Physical Objects and 3D Models for Robotics and Computer Vision
Akansel Cosgun, Lachlan Chumbley, Benjamin J. Meyer
This paper introduces the Australian Supermarket Object Set (ASOS), a comprehensive dataset comprising 50 readily available supermarket items with high-quality 3D textured meshes d…
Multimorbidity Content-Based Medical Image Retrieval Using Proxies
Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi +2
Content-based medical image retrieval is an important diagnostic tool that improves the explainability of computer-aided diagnosis systems and provides decision making support to h…
OpenGAN: Open Set Generative Adversarial Networks
Luke Ditria, Benjamin J. Meyer, Tom Drummond
Many existing conditional Generative Adversarial Networks (cGANs) are limited to conditioning on pre-defined and fixed class-level semantic labels or attributes. We propose an open…
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning
Benjamin J. Meyer, Tom Drummond
State-of-the-art deep neural network recognition systems are designed for a static and closed world. It is usually assumed that the distribution at test time will be the same as th…
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels
Benjamin J. Meyer, Ben Harwood, Tom Drummond
We present a Gaussian kernel loss function and training algorithm for convolutional neural networks that can be directly applied to both distance metric learning and image classifi…