HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
最近在研究一些模型网络简化的问题，因此我看到了一篇挺有意思的论文。HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network。这篇文章时对传统的卷积模块进行修改，去掉了冗余块特征信息。简化网络结构。但是并没有降低网络准确度。 从这个准确度图中我们可以看到整个模型相比于各种 ResNet50的变体，准确度都时有提升。整篇文章
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相关文章
- 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