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. MDPI.
Chicago Style (17th ed.) CitationSumit, Shahriar Shakir, Dayang Rohaya Awang Rambli, Seyedali Mirjalili, Muhammad Mudassir Ejaz, and Md Saef Ullah Miah. ReSTiNet: On Improving the Performance of Tiny-YOLO-Based CNN Architecture for Applications in Human Detection. MDPI, 2022.
MLA (9th ed.) CitationSumit, Shahriar Shakir, et al. ReSTiNet: On Improving the Performance of Tiny-YOLO-Based CNN Architecture for Applications in Human Detection. MDPI, 2022.
Warning: These citations may not always be 100% accurate.