4 citations · 4 across the 5 of their papers we have counts for
8 papers · 1 filter
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…
HR-Crime: Human-Related Anomaly Detection in Surveillance Videos
Kayleigh Boekhoudt, Alina Matei, Maya Aghaei +1
The automatic detection of anomalies captured by surveillance settings is essential for speeding the otherwise laborious approach. To date, UCF-Crime is the largest available datas…
Obstacle Detection for BVLOS Drones
Jan Moros Esteban, Jaap van de Loosdrecht, Maya Aghaei
With the introduction of new regulations in the European Union, the future of Beyond Visual Line Of Sight (BVLOS) drones is set to bloom. This led to the creation of the theBEAST p…