Research Progress in Object Detection Based on Deep Learning

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Integrated Circuits and Embedded Systems ›› 2023, Vol. 23 ›› Issue (7) : 38-40.

TECHNOLOGY REVIEW

Research Progress in Object Detection Based on Deep Learning

Zhou Keyu, Li Jun

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Abstract

In the paper,the development and classification of single-stage object detection are introduced firstly.Then,the YOLO series of algorithms are introduced,especially the important core mechanisms in YOLO,such as loss function,network structure,optimization strategy,k-means clustering and batch normalization.This is followed by an introduction to YOLO's application scenarios,such as pedestrian detection,industry and medicine.Finally,the characteristics of YOLO series algorithms and identify future improvement directions are summarized,and this paper has certain guiding significance for the study of deep learning object detection.

Key words

deep learning / object detection / YOLO algorithm / convolutional neural network

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Zhou Keyu, Li Jun. Research Progress in Object Detection Based on Deep Learning[J]. Integrated Circuits and Embedded Systems. 2023, 23(7): 38-40

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