EdgeYOLO: An Edge-Real-Time Object Detector

• Published in: Chinese Control Conference pp. 7507 - 7512
• Main Authors: Liu, Shihan, Zha, Junlin, Sun, Jian, Li, Zhuo, Wang, Gang
• Format: Conference Proceeding
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 24.07.2023
• Subjects: Anchor-free; Computational modeling; Detectors; edge-real-time; hybrid random loss; Image edge detection; object detector; Performance evaluation; Real-time systems; Source coding; Training

An efficient, low-complexity, and anchor-free object detector based on the state-of-the-art YOLO framework is proposed in this paper, which can be implemented in real time on edge computing platforms. An enhanced data augmentation method is developed to effectively suppress overfitting during traini...