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EURASIP Journal on Wireless Communications and Networking

Table 1 Layered fusion implementation details

From: ABOS: an attention-based one-stage framework for person search

Attention network layer

n×c×h×w,attention

\({P_1}\)

1×768×h×w,A,M,3×3C,Sigmoid

\({P_2}\)

1×1536×h×w

\({P_3}\)

1×3072×h×w,A,M,1×1F,ReLu,1×1F,Sigmoid

  1. n denotes the number of filters, c denotes the channels of the filter, h/w denotes the size of the filter, A denotes the average pooling layer, M denotes the maximum pooling layer, C denotes the convolutional layer, and F denotes the fully connected layer
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