Lightweight Transmedia High-speed Small Target Detection Method Based on Coordinate Attention Mechanism

doi:10.12382/bgxb.2024.0380

Abstract

Abstract:

In the field of high-speed projectile testing,the very high speed of projectiles poses a significant challenge to detection techniques,which in turn limits the ability to detect and localize projectiles in real time.Moreover,the available datasets for projectile detection are scarce due to the high cost and the complexity of projectile experimental setup.To address the above problems,a transmedia projectile water-entry test system is constructed.A transmedia projectile dataset is created from the projectile images captured by a high-speed camera, and expanded with data enhancement method.Aiming at the problem that the detection accuracy of projectile water-entry is significantly lower than that of projectile in air and water,a transmedia small target detection method based on a coordinate attention (CA) mechanism is proposed.The proposed method replaces the traditional convolution with depth-separable convolution on the basis of recognizing the projectile small targets with high accuracy,which achieves a good balance among detection accuracy,speed and model complexity.The experimental results show that the proposed method improves the detection accuracy by 2.68% and the recall ratio by 7.31% at the instant of projectile water-entry,which provides a solution for transmedia high-speed small target detection.

Key words: transmedia high-speed small target, target detection, attention mechanism, depth-separable convolution

CLC Number:

TP391

DONG Yi, KONG Xiaofang, LUO Hong’e, WAN Gang, XIA Yan, WAN Minjie. Lightweight Transmedia High-speed Small Target Detection Method Based on Coordinate Attention Mechanism[J]. Acta Armamentarii, 2025, 46(6): 240380-.

Figures/Tables 24

References 22

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工况编号	发射压力/MPa	波长/m	波陡/%	发射角度/(°)
1	4.0			30
2	4.0	1.9	3.0	30
3	4.0	1.9	4.5	30
4	4.0	1.9	6.0	30
5	4.5			30
6	4.5	1.9	3.0	30
7	4.5	1.9	4.5	30
8	4.5	1.9	6.0	30
9	5.0			30
10	5.0	1.9	3.0	30
11	5.0	1.9	4.5	30
12	5.0	1.9	6.0	30

工况编号	发射压力/MPa	波长/m	波陡/%	发射角度/(°)
1	4.0			30
2	4.0	1.9	3.0	30
3	4.0	1.9	4.5	30
4	4.0	1.9	6.0	30
5	4.5			30
6	4.5	1.9	3.0	30
7	4.5	1.9	4.5	30
8	4.5	1.9	6.0	30
9	5.0			30
10	5.0	1.9	3.0	30
11	5.0	1.9	4.5	30
12	5.0	1.9	6.0	30

参数	数值
传感器分辨率	1280×960
位深度/位	12
像素大小/μm	20
传感器尺寸/mm	25.6×16
帧频/(帧·s^-1)	4000
曝光时间/μs	20

参数	数值
传感器分辨率	1280×960
位深度/位	12
像素大小/μm	20
传感器尺寸/mm	25.6×16
帧频/(帧·s^-1)	4000
曝光时间/μs	20

实验设备	配置参数
操作系统	Windows10
中央处理器CPU	12th Gen Intel(R) Core(TM) i7-12700 2.10GHz
图形处理器GPU	NVIDIA GeForce RTX 4070Ti
显存	12GB
深度学习框架	Pytorch
编程语言	Python 3.9
GPU加速器	CUDA 12.1