[Paper Review] Classic CNN Architecture
1.(AlexNet) ImageNet Classification with Deep Convolutional Neural Networks
Introduction
2.(VGGNet) VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
author : Karen Simonyan & Andrew Zisserman+Visual Geometry Group, Department of Engineering Science, University of Oxford {karen,az}@robots.ox.ac.uk
3.Network In Network
우리는Network In Network(NIN)이라고 불리는 새로운 deep network structure를 제안한다.우리는 receptive field에 대한 data를 더욱 abstract하는 complex structure로 micro neural network
4.(GoogleNet) Going deeper with convolutions
Abstract 1. Introduction 2. Related Work 3. Motivation and High Level Consideration 4. Architectural Details 5. GoogleNet 6. Training Methodolog
5.Batch Normalization : Accelerating Deep Network Training by Reducing Internal Covariate Shift
Author : Sergey Ioffe, Christian SzegedyConference : ICML 2015(International Conference on Machine Learning)
6.(ResNet) Deep Residual Learning for Image Recognition
authors : Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun학회 : Computer Vision and Pattern Recognition (cs.CV)https://arxiv.org/abs/1512.03385De
7.MobileNetV2: Inverted Residuals and Linear Bottlenecks, Sandler
author : Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh ChenSubjects : The IEEE Conference on Computer Vision and Pattern Re