语义分割-博客分享

https://blog.csdn.net/py184473894/article/details/84251258

[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）