Chained Predictions Using Convolutional Neural Networks
1、文章主要是運用類似於RNN結構進行建模，每一個階段用到上一個隱含層和之前所有的輸出層 圖中大體可以展現作者的思路 與RNN不同的是，作者在訓練圖片的時候w都不是權值共享的，但是RNN網絡的U,V,W都是權值共享的，如圖 作者這樣做也是爲了適應人體姿態估計這一任務，在後面的vedio的實驗中，作者卻採用權值共享的策略 作者在文中還提出了deception的結構 也即deconvolution+i
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相關文章
- 1. Fast Face-swap Using Convolutional Neural Networks
- 2. Convolutional Neural Networks: Application
- 3. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
- 4. 論文 | Predicting Mortgage Default Using Convolutional Neural Networks
- 5. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
- 6. Voice Conversion using Convolutional Neural Networks 翻譯
- 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》