dev-sungman / deep-paper-presentations

What I have read papers about deep learning

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Deep Paper Presentations

  • What I have read papers

Computer Vision

Name Tag
AlexNet Backbone
VGG Backbone
GoogLeNet Backbone
Inception v1 ~ v4 Backbone
ResNet Backbone
SENet Backbone
NASNet Backbone, Neural Architecture Search
MobileNet Backbone, Light-weight
YOLO v1 Object Detection
YOLO v2 Object Detection
Mask-R-CNN Object Detection, Instance Segmentation
EfficientDet Object Detection
CPC v1 Self-Supervised Learning
IIC: Invariant Inforamtion Clustering for Unsupervised Image Classification and Segmentation Self-Supervised Learning
MoCo v1 Self-Supervised Contrastive Learning
SimCLR Self-Supervised Contrastive Learning
BYOL Self-Supervised Contrastive Learning
CRD Contrastive Learning, Distillation, Representation Learning
SphereFace Face Recognition, Metric Learning
CosFace Face Recognition, Metric Learning
ArcFace Face Recognition, Metric Learning
R3 Adversarial Network for Cross Model Face Recognition Face Recognition
Unequal-training for Deep Face Recognition Face Recognition
SinGAN Generative
DRIT Image-to-Image
EAST OCR
FCN Segmentation
YOLACT Instance Segmentation

Natural Language Processing

Name Tag
AttentionMechanism Attention
GRU Time Series
Seq2Seq Neural Machine Translation

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What I have read papers about deep learning