整理了197个经典SOTA模型，涵盖图像分类、目标检测、推荐系统等13个方向

一、图像分类SOTA模型（15个）

1.模型：AlexNet

**论文题目：**Imagenet Classification with Deep Convolution Neural Network

2.模型：VGG

**论文题目：**Very Deep Convolutional Networks for Large-Scale Image Recognition

3.模型：GoogleNet

**论文题目：**Going Deeper with Convolutions

4.模型：ResNet

**论文题目：**Deep Residual Learning for Image Recognition

5.模型：ResNeXt

**论文题目：**Aggregated Residual Transformations for Deep Neural Networks

6.模型：DenseNet

**论文题目：**Densely Connected Convolutional Networks

7.模型：MobileNet

**论文题目：**MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

8.模型：SENet

**论文题目：**Squeeze-and-Excitation Networks

9.模型：DPN

**论文题目：**Dual Path Networks