| 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), 1-7, 2018 | 21 | 2018 |
| 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 | 6 | 2019 |
| Probabilistic Object Detection: Definition and Evaluation D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ... arXiv preprint arXiv:1811.10800, 2018 | 6 | 2018 |
| Benchmarking Sampling-based Probabilistic Object Detectors D Miller, N Sünderhauf, H Zhang, D Hall, F Dayoub Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | | 2019 |
| Dropout Variational Inference Improves Object Detection in Open-Set Conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf | | |
