2D Object Detection
Intro
Cover
Infographic
Classification
List_Classification
CS231n Lecture 7 - ConvNetworks
1990_LeNet
2012_AlexNet
2013_ZFNet
2014_GoogLeNet
2014_VGGNet
2015_ResNet
2016_ResNet_Inception-V4
Object Detection
List_Object Detection
intro_Object Detection
CS231n Lecture 8 - Localization and Detection
2012_Selective Search
2013_R-CNN
2013_SPPNets
2014_OverFeat(작성중_50%)
2015_Fast_R-CNN
2015_Faster_R-CNN
2016_YOLO
2016_SSD
2016_Faster_R-CNN+ResNet
2016_R-FCN(작성중_0%)
2017_YOLO2_YOLO9000
2016_PAVNet
2016_DenseNet
2016_SqueezeDet
2017_ SqueezeNET
2017_D-SSD(작성중_0%)
2017_RetinaNet
Lab_Object_Detection
Semantic Segmentation
List_Semantic Segmentation
Intro_Semantic Segmentation
Fundamental_Segmentation
CS231n Lecture 13 - Segmentation(작성중_0%)
Paper_2011_FC_CRF
2015_Fully Convolutional Network(80%)
2015_Deconvolutional Network
2016_Dilated convolution
2016_DeepLab v2
2017_Mask R-CNN(작성중_20%)
Video Segmentation
intro_Video_segmentation
2017_OSVOS
2017_MaskTrack
참고
ref01_Evaluation_mAP_IoU
ref02_Pooling에 대한 고찰
ref03_FCN에 대한 고찰(작성중_0%)
ref04_Challenges_Datasets
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List_Classification
Classification
1. List
2. Paper
3. Article (Post, blog, etc.)
Case study of Convolutional Neural Network
: 하기 논문 6편에 대한
한글
분석(AlexNet, VGGNet, Network In Network, GoogLeNet, PReLU-net, ResNet)
여러가지 합성곱 신경망 레이어들 - InceptionV1(Googlenet)
3. Tutorial (Series, )
4. Youtube
6. Material (Pdf, ppt)
7. Implementation (Project)
8. Research Group / Conference
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