Szczegóły publikacji
Opis bibliograficzny
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms / Konrad LIS, Tomasz KRYJAK // W: MMAR 2023 [Dokument elektroniczny] : 27th international conference on Methods and Models in Automation and Robotics : 22–25 August 2023, Międzyzdroje, Poland : on line proceedings : technical papers. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2023. — (International Conference on Methods and Models in Automation and Robotics ; ISSN 2835-2815). — Dod. ISBN: 979-8-3503-1106-8 (USB), 979-8-3503-1108-2 (print on demand). — e-ISBN: 979-8-3503-1107-5. — S. 344–349. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 349, Abstr. — Publikacja dostępna online od: 2023-09-11
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 148559 |
|---|---|
| Data dodania do BaDAP | 2023-10-06 |
| Tekst źródłowy | URL |
| DOI | 10.1109/MMAR58394.2023.10242454 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | International Conference on Methods and Models in Automation and Robotics 2023 |
| Czasopismo/seria | International Conference on Methods and Models in Automation and Robotics |
Abstract
Object detection in 3D is a crucial aspect in the context of autonomous vehicles and drones. However, prototyping detection algorithms is time-consuming and costly in terms of energy and environmental impact. To address these challenges, one can check the effectiveness of different models by training on a subset of the original training set. In this paper, we present a comparison of three algorithms for selecting such a subset – random sampling, random per class sampling, and our proposed MONSPeC (Maximum Object Number Sampling per Class). We provide empirical evidence for the superior effectiveness of random per class sampling and MONSPeC over basic random sampling. By replacing random sampling with one of the more efficient algorithms, the results obtained on the subset are more likely to transfer to the results on the entire dataset. The code is available at: https://github.com/vision-agh/monspec.
