Anti-UAV object tracking with enhanced backbone and feature rearrangement

Table 1. Size of the output feature maps for each convolutional layer
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Table 1. Size of the output feature maps for each convolutional layer
输入输出
conv_1 MaxPool conv_2 conv_3 conv_4 conv_5
127*127*3 61*61*64 31*31*64 31*31*256 15*15*512 15*15*1 024 15*15*2 048

Table 2. Results of ablation experiments on DUT Anti-UAV
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Table 2. Results of ablation experiments on DUT Anti-UAV
算法成功率/% 精确率/%
SiamRPN++ 54.9 80.0
+HardSwish 55.0 80.4
+ECA-Net 55.7 84.1
+HardSwish +ECA-Net（HE） 56.3 84.3
+FR 56.7 81.0
SiamAU 60.5 88.1

Table 3. Tracking results of four sequences on DUT Anti-UAV

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Table 3. Tracking results of four sequences on DUT Anti-UAV

序列名称	SiamRPN++		SiamRPN++ +HE		SiamRPN++ +FR		SiamAU
序列名称	成功率/%	精确率/%	成功率/%	精确率/%	成功率/%	精确率/%	成功率/%	精确率/%
v05	27.6	33.7	80.1	94.7	81.6	94.7	83.7	95.2
v09	7.0	45.3	43.1	90.3	49.0	94.6	47.2	92.8
v12	34.2	57.2	35.5	57.6	41.7	67.5	43.4	70.2
v17	61.0	79.1	33.7	42.5	31.5	39.9	68.4	86.2

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Binxi ZHENG, Zhigang YANG, Yufeng DING. Anti-UAV object tracking with enhanced backbone and feature rearrangement[J]. Chinese Journal of Liquid Crystals and Displays, 2024, 39(4): 532

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Paper Information

Category: Research Articles

Received: Apr. 21, 2023

Accepted: --

Published Online: May. 28, 2024

The Author Email: Binxi ZHENG (914016304@qq.com)

DOI:10.37188/CJLCD.2023-0150

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Table 1. Size of the output feature maps for each convolutional layer

Table 1. Size of the output feature maps for each convolutional layer

Table 2. Results of ablation experiments on DUT Anti-UAV

Table 2. Results of ablation experiments on DUT Anti-UAV

Table 3. Tracking results of four sequences on DUT Anti-UAV

Table 3. Tracking results of four sequences on DUT Anti-UAV