4 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Image-based Deep Learning for the time-dependent prediction of fresh concrete properties
Max Meyer, Amadeus Langer, Max Mehltretter +5
Increasing the degree of digitisation and automation in the concrete production process can play a crucial role in reducing the CO emissions that are associated with the produc…
cs.CV2022★ 4 cited
ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate Particles
Max Coenen, Tobias Schack, Dries Beyer +2
We present a semi-supervised method for panoptic segmentation based on ConsInstancy regularisation, a novel strategy for semi-supervised learning. It leverages completely unlabelle…
cs.CV2021★ 4 cited
Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance
Max Coenen, Tobias Schack, Dries Beyer +2
In order to leverage and profit from unlabelled data, semi-supervised frameworks for semantic segmentation based on consistency training have been proven to be powerful tools to si…