A mixed-scale dense convolutional neural network for image analysis
《A mixed-scale dense convolutional neural network for image analysis》是在PANS上發表的一篇文章，提出來一種新的不包含pooling層的網絡結構。 以前我們的卷積網絡都會包含pooling層，目的是爲了降低特徵圖維度，增加網絡感受野，以及增加網絡非線性等其他的一些作用。pooling層的作用很強大，但是也有一個讓人頭疼的問題，p
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相關文章
- 1. A Cascaded Convolutional Neural Network for Single Image Dehazing
- 2. Relation-Shape Convolutional Neural Network for point cloud analysis
- 3. 總結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