Review of Target Detection Algorithm Research Based on DETR

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Integrated Circuits and Embedded Systems ›› 2023, Vol. 23 ›› Issue (5) : 40-42.

TECHNOLOGY REVIEW

Review of Target Detection Algorithm Research Based on DETR

Li Xiaojun, Liu Ying

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Abstract

Target detection is the basis and premise of many computer vision tasks,and is the core issue of computer vision research.Before Transformer,most target detection algorithms are based on convolutional neural networks.With Transformer's great success in the field of natural language processing,target detection algorithms also make attempts on Transformer,and produces many algorithms led by DETR,and achieves good results.This paper first introduces Transformer and its application in computer vision,then introduces the DETR algorithm and its improvement,and looks forward to the future development of the DETR algorithm in the target detection task.

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target detection / Transformer / DETR

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Li Xiaojun, Liu Ying. Review of Target Detection Algorithm Research Based on DETR[J]. Integrated Circuits and Embedded Systems. 2023, 23(5): 40-42

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