Review and analysis of synthetic dataset generation methods and techniques for application in computer vision
G Paulin, M Ivasic‐Kos - Artificial intelligence review, 2023 - Springer
Synthetic datasets, for which we propose the term synthsets, are not a novelty but have
become a necessity. Although they have been used in computer vision since 1989, helping …
become a necessity. Although they have been used in computer vision since 1989, helping …
[图书][B] Synthetic data for deep learning
SI Nikolenko - 2021 - Springer
You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …
anymore? Anyway, you are reading this, and it means that I have managed to release one of …
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification
Instance-level object re-identification is a fundamental computer vision task, with
applications from image retrieval to intelligent monitoring and fraud detection. In this work …
applications from image retrieval to intelligent monitoring and fraud detection. In this work …
Person localization and distance determination using the raycast method
G Paulin, S Sambolek… - 2021 6th International …, 2021 - ieeexplore.ieee.org
By using drones in search and rescue (SAR) missions, missing person detection is possible
during or after the flight by analyzing the recorded material. However, person localization is …
during or after the flight by analyzing the recorded material. However, person localization is …