OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities

2 code implementations • 11 Apr 2024 • Lasse H. Hansen, Simon B. Jensen, Mark P. Philipsen, Andreas Møgelmose, Lars Bodum, Thomas B. Moeslund

We present OpenTrench3D, a novel and comprehensive 3D Semantic Segmentation point cloud dataset, designed to advance research and development in underground utility surveying and mapping.

3D Semantic Segmentation Segmentation +1

Raw Instinct: Trust Your Classifiers and Skip the Conversion

no code implementations • 21 Mar 2024 • Christos Kantas, Bjørk Antoniussen, Mathias V. Andersen, Rasmus Munksø, Shobhit Kotnala, Simon B. Jensen, Andreas Møgelmose, Lau Nørgaard, Thomas B. Moeslund

Using RAW-images in computer vision problems is surprisingly underexplored considering that converting from RAW to RGB does not introduce any new capture information.

Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes

no code implementations • 15 Feb 2022 • Simon B. Jensen, Thomas B. Moeslund, Søren J. Andreasen

Anomaly detection in X-ray images has been an active and lasting research area in the last decades, especially in the domain of medical X-ray images.

Anomaly Detection Binary Classification +1