CNN 관련 목차

Basic

---

One-Stage-Detector와 Two-Stage-Detector
[Posting]

Fine Tuning
[Posting]

 

Network

---

Gradient-Based Learning Applied to Document Recognition (LeNet)  
[Paper] [Posting] [Pytorch]

ImageNet Classification with Deep Convolutional Neural Networks (AlexNet) 
[Paper] [Posting] [Pytorch]

Very Deep Convolutional Networks for Large-Scale Image Recognition (VGG) 
[paper] [Posting] [Pytorch]

Going Deeper with Convolutions (GoogleNet) 
[paper] [Posting] [Pytorch]

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition (Sppnet) 
[paper] [Posting] [Pytorch]

Deep Residual Learning for Image Recognition (ResNet-50) 
[paper] [Posting] [Pytorch]

Xception : Deep Learning with Depthwise Separable Convolutions (Xception) 
[paper] [Posting] [Pytorch]

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications (MobileNet) 
[paper] [Posting] [Pytorch]

Densely Connected Convolutional Networks (DenseNet) 
[paper] [Posting] [Pytorch]

Squeeze-and-Excitation Networks (SeNet) 
[paper] [Posting] [Pytorch]

 

 

Object Detection

---

Rich feature hierarchies for accurate object detection and semantic segmentation (R-CNN)   
[Paper] [Posting] [Pytorch]

OverFeat : Integrated Recognition, Localization and Detection using Convolutional Networks
[paper] [Posting] [Pytorch]

Fast R-CNN
[paper] [Posting] [Pytorch]

Faster R-CNN
[paper] [Posting] [Pytorch]

OHEM
[paper] [Posting] [Pytorch]

YOLO v1
[paper] [Posting] [Pytorch]

SSD
[paper] [Posting] [Pytorch]

R-FCN
[paper] [Posting] [Pytorch]

YOLO v2
[paper] [Posting] [Pytorch]

FPN
[paper] [Posting] [Pytorch]

Retina Net
[paper] [Posting] [Pytorch]

Mask R-CNN
[paper] [Posting] [Pytorch]

YOLO v3
[paper] [Posting] [Pytorch]

RefineDet
[paper] [Posting] [Pytorch]

M2Det
[paper] [Posting] [Pytorch]