5 citations · 10 across the 3 of their papers we have counts for
3 papers · 1 filter
Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation
Bram Vanherle, Brent Zoomers, Jeroen Put +2
Generating synthetic images is a useful method for cheaply obtaining labeled data for training computer vision models. However, obtaining accurate 3D models of relevant objects is…
Analysis of Training Object Detection Models with Synthetic Data
Bram Vanherle, Steven Moonen, Frank Van Reeth +1
Recently, the use of synthetic training data has been on the rise as it offers correctly labelled datasets at a lower cost. The downside of this technique is that the so-called dom…
Real-time Detection of 2D Tool Landmarks with Synthetic Training Data
Bram Vanherle, Jeroen Put, Nick Michiels +1
In this paper a deep learning architecture is presented that can, in real time, detect the 2D locations of certain landmarks of physical tools, such as a hammer or screwdriver. To…