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Triplet Attention

2000년 도입 · 논문 11편에서 사용

Triplet attention comprises of three branches each responsible for capturing crossdimension between the spatial dimensions and channel dimension of the input. Given an input tensor with shape (C × H × W), each branch is responsible for aggregating cross-dimensional interactive features between either the spatial dimension H or W and the channel dimension C.

출처: Rotate to Attend: Convolutional Triplet Attention Module

소개 논문: Rotate to Attend: Convolutional Triplet Attention Module

Attention Modules · General