ReSTiNet : On improving the performance of Tiny-YOLO-Based CNN architecture for applications in human detection

ReSTiNet : On improving the performance of Tiny-YOLO-Based CNN architecture for applications in human detection

Human detection is a special application of object recognition and is considered one of the greatest challenges in computer vision. It is the starting point of a number of applications, including public safety and security surveillance around the world. Human detection technologies have advanced sig...

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Bibliographic Details
Main Authors: Sumit, Shahriar Shakir, Awang Rambli, Dayang Rohaya, Mirjalili, Seyedali, Ejaz, Muhammad Mudassir, Miah, Md Saef Ullah
Format: Article
Language:English
Published: MDPI 2022
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/37442/
http://umpir.ump.edu.my/id/eprint/37442/1/ReSTiNet_On%20improving%20the%20performance%20of%20tiny-yolo-based%20cnn%20architecture%20for%20applications%20in%20human%20detection.pdf

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