Chained Predictions Using Convolutional Neural Networks
1、文章主要是运用类似于RNN结构进行建模，每一个阶段用到上一个隐含层和之前所有的输出层 图中大体可以展现作者的思路 与RNN不同的是，作者在训练图片的时候w都不是权值共享的，但是RNN网络的U,V,W都是权值共享的，如图 作者这样做也是为了适应人体姿态估计这一任务，在后面的vedio的实验中，作者却采用权值共享的策略 作者在文中还提出了deception的结构 也即deconvolution+i
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相关文章
- 1. Fast Face-swap Using Convolutional Neural Networks
- 2. Convolutional Neural Networks: Application
- 3. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
- 4. 论文 | Predicting Mortgage Default Using Convolutional Neural Networks
- 5. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
- 6. Voice Conversion using Convolutional Neural Networks 翻译
- 7. 【paper-note5】Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks
- 8. Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
- 9. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
- 10. 【DDFD】《Multi-view Face Detection Using Deep Convolutional Neural Networks》