Follow
Dimity Miller
Title
Cited by
Cited by
Year
Dropout sampling for robust object detection in open-set conditions
D Miller, L Nicholson, F Dayoub, N Sünderhauf
2018 IEEE International Conference on Robotics and Automation (ICRA), 3243-3249, 2018
1192018
Probabilistic object detection: Definition and evaluation
D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
722020
Evaluating merging strategies for sampling-based uncertainty techniques in object detection
D Miller, F Dayoub, M Milford, N Sünderhauf
2019 International Conference on Robotics and Automation (ICRA), 2348-2354, 2019
562019
Class anchor clustering: A loss for distance-based open set recognition
D Miller, N Sunderhauf, M Milford, F Dayoub
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
29*2021
Benchmarking Sampling-based Probabilistic Object Detectors.
D Miller, N Sünderhauf, H Zhang, D Hall, F Dayoub
CVPR Workshops 3, 6, 2019
142019
Uncertainty for identifying open-set errors in visual object detection
D Miller, N Sünderhauf, M Milford, F Dayoub
IEEE Robotics and Automation Letters 7 (1), 215-222, 2021
82021
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors
D Miller, P Moghadam, M Cox, M Wildie, R Jurdak
arXiv preprint arXiv:2203.07662, 2022
22022
Epistemic uncertainty estimation for object detection in open-set conditions
D Miller
Queensland University of Technology, 2021
12021
Probabilistic object detection with an ensemble of experts
D Miller
European Conference on Computer Vision, 46-55, 2020
12020
Dropout variational inference improves object detection in open-set conditions
D Miller, L Nicholson, F Dayoub, N Sünderhauf
Bayesian Deep Learning Workshop at the Internation Conference on Neural …, 2017
12017
Never mind the metrics--what about the uncertainty? Visualising confusion matrix metric distributions
D Lovell, D Miller, J Capra, A Bradley
arXiv preprint arXiv:2206.02157, 2022
2022
Why Object Detectors Fail: Investigating the Influence of the Dataset
D Miller, G Goode, C Bennie, P Moghadam, R Jurdak
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
Probabilistic Object Detection: Definition and Evaluation-supplementary material
D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ...
The system can't perform the operation now. Try again later.
Articles 1–13