Sumit, S.S.; Awang Rambli, D.R.; Mirjalili, S.; Ejaz, M.M.; Miah, M.S.U.
ReSTiNet: On Improving the Performance of Tiny-YOLO-Based CNN Architecture for Applications in Human Detection. Appl. Sci. 2022, 12, 9331.
https://doi.org/10.3390/app12189331
AMA Style
Sumit SS, Awang Rambli DR, Mirjalili S, Ejaz MM, Miah MSU.
ReSTiNet: On Improving the Performance of Tiny-YOLO-Based CNN Architecture for Applications in Human Detection. Applied Sciences. 2022; 12(18):9331.
https://doi.org/10.3390/app12189331
Chicago/Turabian Style
Sumit, Shahriar Shakir, Dayang Rohaya Awang Rambli, Seyedali Mirjalili, Muhammad Mudassir Ejaz, and M. Saef Ullah Miah.
2022. "ReSTiNet: On Improving the Performance of Tiny-YOLO-Based CNN Architecture for Applications in Human Detection" Applied Sciences 12, no. 18: 9331.
https://doi.org/10.3390/app12189331
APA Style
Sumit, S. S., Awang Rambli, D. R., Mirjalili, S., Ejaz, M. M., & Miah, M. S. U.
(2022). ReSTiNet: On Improving the Performance of Tiny-YOLO-Based CNN Architecture for Applications in Human Detection. Applied Sciences, 12(18), 9331.
https://doi.org/10.3390/app12189331