ReSTiNet : An efficient deep learning approach to improve human detection accuracy

• Main Authors: Sumit, Shahriar Shakir, Dayang Rohaya, Awang Rambli, Seyedali, Mirjalili, Miah, Md Saef Ullah, Muhammad Mudassir, Ejaz
• Format: Article
• Language: English
• Published: Elsevier B.V. 2023
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/38179/1/ReSTiNet_An%20efficient%20deep%20learning%20approach%20to%20improve%20human%20detection%20accuracy.pdf; http://umpir.ump.edu.my/id/eprint/38179/; https://doi.org/10.1016/j.mex.2022.101936; https://doi.org/10.1016/j.mex.2022.101936

Human detection is an important task in computer vision. It is one of the most important tasks in global security and safety monitoring. In recent days, Deep Learning has improved human detection technology. Despite modern techniques, there are very few optimal techniques to construct networks with...