Densely Connected Convolutional Networks(2017)
Densely Connected Convolutional Networks(2017) 1、 为什么要做这个研究（理论走向和目前缺陷） ? Resnet的直接sum可能会阻碍信息流动。减轻梯度消失，增强特征传播，减参数。 2、 他们怎么做这个研究 （方法，尤其是与之前不同之处） ? 设计DenseNet，跟resnet主要不同就是改直接Sum为concatenate和前馈密集连接。 3、 发
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- 1. Densely Connected Convolutional Networks
- 2. DenseNet--Densely Connected Convolutional Networks
- 3. DenseNet——Densely Connected Convolutional Networks
- 4. Densely Connected Convolutional Networks(DenseNet)
- 5. DenseNet---《Densely Connected Convolutional Networks》
- 6. 【DenseNet】《Densely Connected Convolutional Networks》
- 7. DenseNet: Densely connected convolutional network
- 8. DenseNet Densely Connected Convolutional Networks
- 9. Densely Connected Convolutional Networks翻译
- 10. Densely Connected Convolutional Networks (DenseNet 2017 CVPR)
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相关文章
- 1. Densely Connected Convolutional Networks
- 2. DenseNet--Densely Connected Convolutional Networks
- 3. DenseNet——Densely Connected Convolutional Networks
- 4. Densely Connected Convolutional Networks(DenseNet)
- 5. DenseNet---《Densely Connected Convolutional Networks》
- 6. 【DenseNet】《Densely Connected Convolutional Networks》
- 7. DenseNet: Densely connected convolutional network
- 8. DenseNet Densely Connected Convolutional Networks
- 9. Densely Connected Convolutional Networks翻译
- 10. Densely Connected Convolutional Networks (DenseNet 2017 CVPR)