Feature Generation by CNN (FGCNN)
时间：2019.04 作者：Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang Abstract Feature Generation模块自动提取有效特征，它利用CNN提取local patterns并且使用MLP生成新的全局特征组合，这解决了CCPM（2015）只提取相邻特征组合的问题。 Mo
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相关文章
- 1. Graph R-CNN for Scene Graph Generation
- 2. CNN中的feature map
- 3. Aggregating Sequential Views for 3D Global Feature Learning by CNN with Hierarchical Attention Aggre
- 4. MirroGAN: Learning Text-to-image Generation by Redescription
- 5. 机器学习-特征工程-Feature generation 和 Feature selection
- 6. 5.Conditional Generation by RNN & Attention(李宏毅)
- 7. 转载：Package by feature, not layer
- 8. Context Encoders: Feature Learning by Inpainting
- 9. 论文阅读：Sequence Generation by Editing Prototype
- 10. 《Conditional Image Generation with PixelCNN Decoders》之Pixcel CNN---gated Pixcel CNN 阅读笔记