3、AttentionGatedVNet3D模型 AttentionGatedVNnet3D和VNet3D的区别就在于解码模块,VNet3D模型是将编码模块的输出直接作为用于解码模块的输入,而AttentionGatedVNnet3D模型是将编码模块的输出先进行Attention Gate然后输入到解码模块中。 结构示意图如下所示。 我用Tensorflow复现了AttentionGatedVNet3D网络。 具体实现我已...
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This paper proposes a new deep learning based architecture named as *//"Attention-Gated Double Contraction path U-Net (AGDC-UNet)" . This model restructures the traditional U-Net architecture by introducing two contraction paths and inserting a soft attention gate on each skip connection between ...
Furthermore, to refine and robustly fuse the representations learned at different scales, the novel Attention-Gated Conditional Random Fields (AG-CRFs) are proposed. The experiments ran on two publicly available datasets (BSDS500 and NYUDv2) demonstrate the effectiveness of the latent AG-CRF model...
Introduction本文是ACL 2017的一篇文章,用更细粒度的gated-attention对背景文章和问题进行计算。作者是CMU的Graduate Research Assistant: Bhuwan Dhingra。文章的相关工作部分总结的很好,代码实现可以参考[GitH…
Pytorch implementation of attention gates used in U-Net and VGG-16 models. The framework can be utilised in both medical image classification and segmentation tasks. The schematics of the proposed Attention-Gated Sononet The schematics of the proposed additive attention gate References: "Attention-...
This paper proposes a new deep learning based architecture named as *//"Attention-Gated Double Contraction path U-Net (AGDC-UNet)" . This model restructures the traditional U-Net architecture by introducing two contraction paths and inserting a soft attention gate on each skip connection between ...
Furthermore, to refine and robustly fuse the representations learned at different scales, the novel Attention-Gated Conditional Random Fields (AG-CRFs) are proposed. The experiments ran on two publicly available datasets (BSDS500 and NYUDv2) demonstrate the effectiveness of the latent AG-CRF model...
这篇 ACL 2017 的论文通过引入Gated-Attention Readers来改进MRC（Machine Reading Comprehension）任务中的注意力机制。作者Bhuwan Dhingra，作为CMU的研究助理，着重解决了模型对原文理解不全面的问题，尤其是Cloze-Style类型的完形填空，即仅用一个单词作答的阅读理解任务。Motivation部分指出，作者发现先前模型...
Compared to previous approaches, it integrates an Attention-Gated Feature Pyramid Network (AG-FPN) and a Direction Field Optimization Module (DFOM) at the feature extraction and segmentation stages. The AG-FPN is designed to introduce a gated attention mechanism to control the flow between bottom-...