HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
最近在研究一些模型網絡簡化的問題，因此我看到了一篇挺有意思的論文。HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network。這篇文章時對傳統的卷積模塊進行修改，去掉了冗餘塊特徵信息。簡化網絡結構。但是並沒有降低網絡準確度。 從這個準確度圖中我們可以看到整個模型相比於各種 ResNet50的變體，準確度都時有提升。整篇文章
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相關文章
- 1. Multisource Remote Sensing Data Classification Based on Convolutional Neural Network
- 2. CNN(Convolutional Neural Network)
- 3. Convolutional Neural Network
- 4. Convolutional Neural Network Architecture
- 5. Tensorflow - Implement for a Convolutional Neural Network on MNIST.
- 6. Large scale crowd analysis based on convolutional neural network
- 7. Convolutional Neural Network - Object Detection
- 8. Deep Convolutional Neural Network Architecture
- 9. 【UFLDL】Exercise: Convolutional Neural Network
- 10. Convolutional Neural Network（CNN）tips