Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
Recently, many plug-and-play self-attention modules are proposed to enhance the model generalization by exploiting the internal information of deep convolutional neural networks (CNNs).
Nov 28, 2020
The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.
This work proposes a framework called Efficient Attention Network (EAN), which leverage the sharing mechanism to share the attention module within the ...
People also ask
Dec 1, 2020 · The sharing DIA unit links multi-scale features from different depth levels of the network implicitly and densely. Experiments on benchmark ...
Bibliographic details on Efficient Attention Network: Accelerate Attention by Searching Where to Plug.
The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.
Recently, many plug-and-play self-attention modules are proposed to enhance the model generalization by exploiting the internal information of deep ...
Liang, M. Liang, W. He, H. Yang*. Efficient Attention Network: Accelerate Attention by Searching Where to Plug. ... Yang*, DIANet: Dense-and-Implicit Attention ...
We observe today's practice of implementing this mechanism using matrix-vector multiplication is suboptimal as the attention mechanism is semantically a content ...
The connection schemes searched by ENAS [21] or EAN. The experiment is. Efficient Attention Network: Accelerate Attention by Searching Where to ...