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03/27/2023
Addressing the Challenges of Open-World Object Detection
We address the challenging problem of open world object detection (OWOD)...
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10/04/2022
Uncertainty-Aware Lidar Place Recognition in Novel Environments
State-of-the-art approaches to lidar place recognition degrade significa...
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09/19/2022
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields
We show that ensembling effectively quantifies model uncertainty in Neur...
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06/05/2022
Never mind the metrics – what about the uncertainty? Visualising confusion matrix metric distributions
There are strong incentives to build models that demonstrate outstanding...
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03/15/2022
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors
In object detection, false negatives arise when a detector fails to dete...
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04/03/2021
Uncertainty for Identifying Open-Set Errors in Visual Object Detection
Deployed into an open world, object detectors are prone to a type of fal...
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04/06/2020
Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers
Existing open set classifiers distinguish between known and unknown inpu...
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09/17/2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
There has been a recent emergence of sampling-based techniques for estim...
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10/18/2017