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