5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 5 cited
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes
Roland Gruber, Steffen Rüger, Thomas Wittenberg
Objective: We propose a new approach for volumetric instance segmentation in X-ray Computed Tomography (CT) data for Non-Destructive Testing (NDT) by combining the Segment Anything…
cs.CV2024★ 1 cited
Instance Segmentation XXL-CT Challenge of a Historic Airplane
Roland Gruber, Johann Christopher Engster, Markus Michen +4
Instance segmentation of compound objects in XXL-CT imagery poses a unique challenge in non-destructive testing. This complexity arises from the lack of known reference segmentatio…