Classification(Paper)
1.ImageNet Classification with Deep Convolutional Neural Networks(Alexnet)
논문 제목 : ImageNet Classification with Deep Convolutional Neural Networks논문 링크 : https://proceedings.neurips.cc/paper/2012/file/c399862d3b9d6b76c84
2.Going deeper with convolutions(GoogLeNet)
논문 제목 : Going deeper with convolutions논문 링크 : https://arxiv.org/abs/1409.4842
3.Densely Connected Convolutional Networks(DenseNet)
논문 제목 : Densely Connected Convolutional Networks논문 링크 : https://arxiv.org/pdf/1608.06993.pdf
4.Deep Residual Learning for Image Recognition(ResNet)
논문 제목 : Deep Residual Learning for Image Recognition논문 링크 : https://arxiv.org/abs/1512.03385
5.Inception-v4, Inception-ResNet and the Impact of Residual Connections
논문 제목 : Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning논문 링크 : https://arxiv.org/pdf/1602.07261v2.pdf
6.Rethinking the Inception Architecture for Computer Vision(Inception-v2, v3)
논문 제목 : Rethinking the Inception Architecture for Computer Vision논문 링크 : https://arxiv.org/pdf/1512.00567.pdf
7.Wide Residual Networks(WRNs)
논문 제목 : Wide Residual Network논문 링크 : https://arxiv.org/pdf/1605.07146.pdf이번에 리뷰할 논문은 Wide Residual Network이다.여태 보던 논문 형태랑 조금 다르게 시원시원하고 글자도 큼직하다.
8.Identity Mappings in Deep Residual Networks(Pre-activation ResNet)
논문 제목 : Identity Mappings in Deep Residual Networks논문 링크 : https://arxiv.org/pdf/1603.05027.pdf
9.Very Deep Convolutional Networks For Large-Scale Image Recognition(VGGNet)
논문 제목 : Very Deep Convolutional Networks For Large-Scale Image Recognition논문 링크 : https://arxiv.org/pdf/1409.1556.pdf이번에 리뷰할 논문은 VGGNet이다.원래 Alex