整体特征通道识别的自适应孪生网络跟踪算法
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An adaptive siamese network tracking algorithm based on global feature channel recognition
Peng SONG,De-dong YANG,Chang LI,Chang GUO
表 1 ResNet22网络参数
Tab.1 Network parameters of ResNet22
层名 核尺寸 模板尺寸 搜索尺寸
input $127 \times 127$ $255 \times 255$
Conv1 $7 \times 7$,64 $64 \times 64$ $128 \times 128$
Crop $60 \times 60$ $124 \times 124$
Maxpool $2 \times 2$ $30 \times 30$ $62 \times 62$
Conv2_x+Crop×3 $\left[ {\begin{array}{*{20}{c}} {1 \times 1,64} \\ {3 \times 3,64} \\ {1 \times 1,256} \end{array}} \right]$ $24 \times 24$ $56 \times 56$
Conv3_1+Crop $\left[ {\begin{array}{*{20}{c}} {1 \times 1,{\rm{128}}} \\ {3 \times 3,{\rm{128}}} \\ {1 \times 1,{\rm{512}}} \end{array}} \right]$ $22 \times 22$ $54 \times 54$
Maxpool $2 \times 2$ $11 \times 11$ $27 \times 27$
Conv3_x+Crop×3 $\left[ {\begin{array}{*{20}{c}} {1 \times 1,{\rm{128}}} \\ {3 \times 3,{\rm{128}}} \\ {1 \times 1,{\rm{512}}} \end{array}} \right]$ $5 \times 5$ $21 \times 21$