20 citations · 23 across the 5 of their papers we have counts for
5 papers
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards
Alexander van Meekeren, Maya Aghaei, Klaas Dijkstra
Deep object detection models have achieved notable successes in recent years, but one major obstacle remains: the requirement for a large amount of training data. Obtaining such da…
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models
Roy Voetman, Maya Aghaei, Klaas Dijkstra
Despite the notable accomplishments of deep object detection models, a major challenge that persists is the requirement for extensive amounts of training data. The process of procu…
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation
Guillem Martinez, Maya Aghaei, Martin Dijkstra +5
Given the hyper-spectral imaging unique potentials in grasping the polymer characteristics of different materials, it is commonly used in sorting procedures. In a practical plastic…
On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging
Klaas Dijkstra, Maya Aghaei, Femke Jaarsma +4
The importance of plastic waste recycling is undeniable. In this respect, computer vision and deep learning enable solutions through the automated analysis of short-wave-infrared h…
Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge
Boris Panes, Christopher Eckner, Luc Hendriks +5
At GeV energies, the sky is dominated by the interstellar emission from the Galaxy. With limited statistics and spatial resolution, accurately separating point sources is therefore…