FPG-based transformer UAV tank target detection

Fenmei Wang; Cheng Liu; Tao Zhang; Xiuzhen Wang

doi:10.1117/12.3012258

21 December 2023 FPG-based transformer UAV tank target detection

Fenmei Wang, Cheng Liu, Tao Zhang, Xiuzhen Wang

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700Q (2023) https://doi.org/10.1117/12.3012258
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

UAV reconnaissance has become an important means of battlefield reconnaissance and has received much attention in the military development of various countries. Therefore, UAV target detection accuracy is an important factor that restricts the effectiveness of military reconnaissance. How to improve the efficiency of UAV target detection and design high-precision neural network algorithms is the main direction of research in this paper. In this paper, for the current UAV target detection accuracy is not high, the FPG-based Transformer algorithm is proposed, which is mainly based on the Transformer, the Transformer Block is improved, and at the same time, the FPG pyramid structure is introduced in the downstream task, and the results show that, after the improvement of the Transformer, it improves the target detection accuracy, which is conducive to improving the accuracy of UAV reconnaissance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fenmei Wang, Cheng Liu, Tao Zhang, and Xiuzhen Wang "FPG-based transformer UAV tank target detection", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700Q (21 December 2023); https://doi.org/10.1117/12.3012258

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KEYWORDS

Transformers

Target detection

Unmanned aerial vehicles

Object detection

Detection and tracking algorithms

Education and training

Windows

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