A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device

Sanaullah S, Koravuna S, Rückert U, Jungeblut T. A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. In: Iliadis L, Maglogiannis I, Papaleonidas A, Pimenidis E, Jayne C, eds. Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings. Communications in Computer and Information Science. Cham: Springer Nature Switzerland; 2024:317-328. doi:10.1007/978-3-031-62495-7_24

Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2024). A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. In L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, & C. Jayne (Eds.), Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings (pp. 317–328). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-62495-7_24

@inbook{Sanaullah_Koravuna_Rückert_Jungeblut_2024, place={Cham}, series={Communications in Computer and Information Science}, title={A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device}, DOI={10.1007/978-3-031-62495-7_24}, booktitle={Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings}, publisher={Springer Nature Switzerland}, author={Sanaullah, Sanaullah and Koravuna, Shamini and Rückert, Ulrich and Jungeblut, Thorsten}, editor={Iliadis, Lazaros and Maglogiannis, Ilias and Papaleonidas, Antonios and Pimenidis, Elias and Jayne, ChrisinaEditors}, year={2024}, pages={317–328}, collection={Communications in Computer and Information Science} }

Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “A Spike Vision Approach for Multi-Object Detection and Generating Dataset Using Multi-Core Architecture on Edge Device.” In Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, edited by Lazaros Iliadis, Ilias Maglogiannis, Antonios Papaleonidas, Elias Pimenidis, and Chrisina Jayne, 317–28. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-62495-7_24.

S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device,” in Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, and C. Jayne, Eds. Cham: Springer Nature Switzerland, 2024, pp. 317–328.

Sanaullah, Sanaullah, et al. “A Spike Vision Approach for Multi-Object Detection and Generating Dataset Using Multi-Core Architecture on Edge Device.” Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, edited by Lazaros Iliadis et al., Springer Nature Switzerland, 2024, pp. 317–28, doi:10.1007/978-3-031-62495-7_24.