[深度学习从入门到女装]文章索引

网络结构：

• VGG
• ResNet
• GoogLeNet
• Xception
• DenseNet
• Deformable CNN
• ResNeXt
• DPN
• SENet
• Non-local （CVPR2018）
• Wide Residual Networks
• Learning Transferable Architectures for Scalable Image Recognition
• Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave
• MobileNets
• Bag of Tricks for Image Classification with Convolutional Neural Networks
• Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Network

 

语义分割：

• FCN
• U-Net
• V-Net
• DeepLab v1、v2
• DeconvNet
• SegNet
• PSPNet
• 3D U-JAPA-Net（MICCAI2018）
• Multi-scale pyramaid of 3D FCNs（MICCAI2018）
• DeepLab v3、v3+
• RefineNet
• FC-DenseNets for Semantic Segmentation
• BiSeNet
• Learning a Discriminative Feature Network for Semantic Segmentation （CVPR2018）
• Context Encoding for Semantic Segmentation（CVPR2018）
• Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation（CVPR2018）
• VoxResNet
• A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI（ECCV2018）
• FCN+RNN for 3D image segmentation
• Semantic Segmentation using Adversarial Networks
• Revisiting Dilated Convolution: A Simple Approach forWeakly- and Semi- Supervised Semant（CVPR2018）
• Adaptive Affinity Fields for Semantic Segmentation（ECCV2018）
• Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation（ECCV2018）
• ExFuse: Enhancing Feature Fusion for Semantic Segmentation（ECCV2018）
• Attention U-Net: Learning Where to Look for the Pancreas
• HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
• Data augmentation using learned transforms for one-shot medical image segmentation（CVPR2019）
• Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
• FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation（CVPR2019)
• Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
• Autofocus Layer for Semantic Segmentation（MICCAI2018）
• Data-Dependent Decoding Enables Flexible Feature Aggregation(CVPR2019)
• Dual Attention Network for Scene Segmentation(CVPR2019)
• H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
• CE-Net: Context Encoder Network for 2D Medical Image Segmentation
• Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks
• High-Resolution Representations for Labeling Pixels and Regions

 

目标检测：

• SPP
• R-CNN
• Fast R-CNN
• Faster R-CNN
• Mask R-CNN
• R-FCN
• YOLO
• SSD
• FPN
• RetinaNet
• DSFD: Dual Shot Face Detector(CVPR2019)
• YOLACT Real-time Instance Segmentation
• FoveaBox: Beyond Anchor-based Object Detector

 

机器学习：

• Auto-context
• fcCRFs
•  

 

RNN：

• CRFasRNN

 

生成对抗网络：

• GANs
• cGANs
• CycleGANs
• Semantic Segmentation using Adversarial Networks
• Semantic Image Synthesis with Spatially-Adaptive Normalization

 

自编码器：

• 变分自编码器（VAE）

 

炼丹技巧：

• PReLU
• Network in Network-Global average pooling
• Normalization

 

TensorFlow实战：

• ResNet（cifar-10,MNIST）

 

Keras实战：

• U-Net2d（VOC2012）
• U-Net3d（BRAST2015）
• LSTM（mnist）
• GAN（MNIST）

 

pytorch实战：

• U-Net3d（LiTS）