mlsanityData to 14 Oct 2026

Instance Segmentation XXL-CT Challenge of a Historic Airplane

arXiv 2402.02928 ↗First posted 5 Feb 2024cs.CV cs.LGcited by 1

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Abstract (arXiv)

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 segmentation labels, limited applicable segmentation tools, as well as partially degraded image quality. To asses recent advancements in the field of machine learning-based image segmentation, the "Instance Segmentation XXL-CT Challenge of a Historic Airplane" was conducted. The challenge aimed to explore automatic or interactive instance segmentation methods for an efficient delineation of the different aircraft components, such as screws, rivets, metal sheets or pressure tubes. We report the organization and outcome of this challenge and describe the capabilities and limitations of the submitted segmentation methods.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 12 of its 30 references that are in the map. First posted on arXiv 5 Feb 2024.

Builds on

12 of 30 references.

References · 12

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizescited by 0