May 25, 2019 · Our paper proposes a novel-and-simple framework that shares an attention module throughout different network layers to encourage the integration ...
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Our paper proposes a novel-and- simple framework that shares an attention module through- out different network layers to encourage the integration of layer- ...
DIANet[paper] provides a universal framework that recurrently fuses the information from preceding layers to enhance the attention modeling at each layer. The ...
In this paper, we proposed a Dense-and-Implicit Attention (DIA) unit to enhance the generalization capacity of deep neural networks by recurrently fusing ...
Oct 22, 2024 · Our paper proposes a novel-and-simple framework that shares an attention module throughout different network layers to encourage the integration ...
May 25, 2019 · A novel-and-simple framework that shares an attention module throughout different network layers to encourage the integration of layer-wise ...
May 25, 2019 · In this paper, we propose a Dense-and-Implicit-Attention (DIA) unit that can be applied universally to different network architectures and ...
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Dianet: Dense-and-implicit attention network. Z Huang, S Liang, M Liang, H Yang. AAAI Conference on Artificial Intelligence (AAAI) 34 (04), 4206-4214, 2020. 53 ...
Similarly, when the DNN has many layers as network depth increases, in each stage the DIA-LSTM will sequentially receive feature map from different layers, and ...
DIANet: Dense-and-Implicit Attention Network · Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang ; The Lottery Ticket Hypothesis for Self-attention in ...