【注意力机制】《DCANet： Learning Connected Attentions for Convolutional Neural Networks》
文章链接：https://arxiv.org/abs/2007.05099 作者团队：北德克萨斯州大学 目录 1.Abstract 2.Deep Connected Attention 2.1Revisiting Self-Attention Blocks 2.2 Attention Connection 2.3 Size Matching 2.4 Multi-dimensional attent
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相关文章
- 1. Learning Convolutional Neural Networks for Graphs
- 2. Learning Convolutional Neural Networks for Graphs论文笔记
- 3. Bag of Tricks for Convolutional Neural Networks
- 4. Understanding Locally Connected Layers In Convolutional Neural Networks
- 5. V4d:4d Convolutional Neural Networks For Video-level Representation Learning
- 6. Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
- 7. Densely Connected Convolutional Networks(DenseNet)
- 8. MDNet: Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
- 9. Densely Connected Convolutional Networks (DenseNet 2017 CVPR)
- 10. Convolutional Neural Networks: Application