A mixed-scale dense convolutional neural network for image analysis

时间 2021-01-02

标签 cnn 栏目 CSS 繁體版

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《A mixed-scale dense convolutional neural network for image analysis》是在PANS上发表的一篇文章，提出来一种新的不包含pooling层的网络结构。以前我们的卷积网络都会包含pooling层，目的是为了降低特征图维度，增加网络感受野，以及增加网络非线性等其他的一些作用。pooling层的作用很强大，但是也有一个让人头疼的问题，p

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1. A Cascaded Convolutional Neural Network for Single Image Dehazing
2. Relation-Shape Convolutional Neural Network for point cloud analysis
3. 总结Deep Convolutional Neural Network for Image Deconvolution
4. Active learning-Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively a
5. Paper | Residual Dense Network for Image Super-Resolution
6. Tensorflow - Implement for a Convolutional Neural Network on MNIST.
7. LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
8. Paper | Dynamic Residual Dense Network for Image Denoising
9. A new deep convolutional neural network for fast hyperspectral image classification Review
10. Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing

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