Výsledky vyhledávání

Synthetic Data of Randomly Piled, Similar Objects for Deep Learning-Based Object Detection

Autor: Arents Janis, Lesser Bernd, Bizuns Andis, Kadikis Roberts, Buls Elvijs, Greitans Modris

Currently, the best object detection results are achieved by supervised deep learning methods, however, these methods depend on annotated training data. With the synthetic data generation approach, we intend to mimic the real data characteristics and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::eb6e0e2112f3ace426cc14539911f424
https://zenodo.org/record/7990151

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Conference

Generation of Synthetic Training Data for Object Detection in Piles.

Autor: Buls, Elvijs, Kadiķis, Roberts, Cacurs, Ričards, Ārents, Jānis

Publikováno v: Proceedings of SPIE; 4/14/2019, Vol. 11041, p1-8, 8p

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Periodical

Generation of synthetic training data for object detection in piles

Autor: Verikas, Antanas, Nikolaev, Dmitry P., Radeva, Petia, Zhou, Jianhong, Buls, Elvijs, Kadikis, Roberts, Cacurs, Ričards, Ārents, Jānis

Publikováno v: Proceedings of SPIE; March 2019, Vol. 11041 Issue: 1 p110411Z-110411Z-8, 993708p

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