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Benjamin J. Meyer

2 accepted papers

2019

The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning

ICRA 2019poster

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 the distribution during training. As a result, classifiers are forced to categorise observations into one out of a set of…

Cited by 46SourceScholar
2017

Improved semantic segmentation for robotic applications with hierarchical conditional random fields

ICRA 2017poster

Conventional approaches to semantic segmentation are inappropriate for robotic applications, as they focus on pixel-level performance and give little significance to spurious object detections. This paper presents a region-based conditional random field model for semantic segmentation that focuses o…

Cited by 11SourceScholar