원문정보
한국차세대컴퓨팅학회
한국차세대컴퓨팅학회 학술대회
The 9th International Conference on Next Generation Computing 2023
2023.12
pp.35-37
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper analyzed the required specification for implementing a real-time object detection system using the YOLO network. The YOLO network is one of the object detection schemes that strike a suitable balance between performance and required resources, making it widely applicable across various domains. In this paper, we measured the performance based on different activations for an efficient implementation of the YOLO network. Also, we conducted a comparative analysis of the YOLO network's performance concerning input characteristics, aiming to analyze the appropriate application method for real-time object detection.
목차
Abstract
I. INTRODUCTION
II. OBJECT DETECTION PERFORMANCE OF THE YOLO NETWORK
III. REQUIRED HW SPECIFICATIONS FOR REAL-TIME OBJECT DETECTION USING THE YOLO NETWORK
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
I. INTRODUCTION
II. OBJECT DETECTION PERFORMANCE OF THE YOLO NETWORK
III. REQUIRED HW SPECIFICATIONS FOR REAL-TIME OBJECT DETECTION USING THE YOLO NETWORK
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보