AI_Research

AI Research & Paper Review

CNN

Classification Paper

(1998) LeNet – Gradient-based Learning Applied to Document Recognition
(2012) AlexNet – ImageNet Classification with Deep Convolutional Neural Network
(2014) GooLeNet – Going Deeper with Convolutions
(2015) VggNet – Very Deep Convolutional Networks for Large-Scale Image Recognition
(2015) SppNet – Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
(2015) ResNet – Deep Residual Learning for Image Recognition
- (2016) ResNet 후속 - Identity Mapping in Deep Residual Networks
(2016) SqueezeNet - AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
(2017) Xception – Xception: Deep Learning with Depthwise Separable Convolutions
(2017) MobileNet – MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Application
- (2019) MobileNet V2-Inverted Residuals and Linear Bottlenecks
- (2019) MobileNet V3-Searching for MobileNetV3
(2017) ShuffleNet – ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- (2018) ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
(2018) DenseNet – Densely Connected Convolutional Networks
(2018) NasNet – Learning Transferable Architectures for Scalable Image Recognition
(2018) Bag of Tricks – Bag of Tricks for Image Classification with Convolutional Neural Networks
(2019) SeNet – Squeeze and Excitation Networks
(2020) EfficientNet-Rethinking Model Scaling for Convolutional Neural Networks
- **(2021) EfficientNet v2 - Smaller Models and Faster Training

Object Detection

(2014) R-CNN - Rich feature hierarchies for accurate object detection and semantic segmentation
(2015) Fast R-CNN - Fast R-CNN
(2016) Faster R-CNN - Towards Real-Time Object Detection with Region Proposal Networks
(2016) FPN - Feature Pyramid Networks for Object Detection
(2016) SSD - Single Shot MultiBox Detector
(2016) YOLO V1 - You Only Look Once-Unified, Real-Time Object Detection
(2016) YOLO V2, 9000 - YOLO9000:Better,Faster,Stronger
(2018) YOLO V3 - YOLOv3: An Incremental Improvement
(2018) Retina Net - Focal Loss for Dense Object Detection
(2020) YOLO V4 Optimal Speed and Accuracy of Object Detection

Segmentation

(2015) FCN - Fully Convolutional Networks for Semantic Segmentation
(2015) SegNet - A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
(2015) U-Net - U-Net:Convolutional Networks for Biomedical Image Segmentation
(2015) Conv_deconv - Learning Deconvolution Network for Semantic Segmentation
(2016) Dilated_Conv - Multi Scale Context Aggregation by Dilated Convolutions
(2016) PSPNet - Pyramid Scene Parsing Network
(2016) RefineNet - Multi Path Refinement Networks for High-Resolution Semantic Segmentation
(2016) DeepLab V1 - Semantic Image Segmentation with deep convolutional nets and fully connected crfs
(2017) DeepLab V2 - DeepLab-Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
(2017) DeepLab V3 - Rethinking Atrous Convolution for Semantic Image Segmentation
(2018) DeepLab V3+ - Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
(2018) Mast R-CNN - Mask R-CNN

OCR (Optimcal Character Recognition)

(2016) TextBoxes-A Fast Text Detector with a Single Deep Neural Network
(2017) EAST-An Efficient and Accurate Scene Text Detector
(2018) CRNN - An end-to-end TextSpotter with Explicit Alignment and Attention
(2018) FOTS - Fast Oriented Text Spotting with a Unified Network
(2019) CRAFT - Character Region Awareness for Text Detection
(2019) What Is Wrong With Scene Text Recognition Model Comparisons Dataset and Model Analysis

GAN

(2014)_GAN - Generative Adversarial Nets
(2014)_CGAN - Conditional Generative Adversarial Nets
(2015)_DCGAN - Unsupervised Representation Learning with Deep Convolutional
(2016)_f-GAN - Training Generative Neural Samplers using Variational Divergence Minimization
(2016)_InfoGAN - Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
(2016)_LSGAN - Least Squares Generative Adversarial Networks
(2017)_CAN - Creative Adversarial Networks, Generating Art by Learning About Styles and Deviating from Style Norms
(2017)_CycleGAN_v7 - Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
(2017)_DiscoGAN - Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
(2017)_EGAN - Energy-based Generative Adversarial Network
(2017)_WGAN - Wassertein GAN
(2017)_WGAN-gp - Improved Training of Wasserstein GANs
(2018)_StarGAN - Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
(2018)_StyleGAN - A Style-Based Generator Architecture for Generative Adversarial Networks
(2020)_StarGAN_v2 - Diverse Image Synthesis for Multiple Domains
(2020)_StyleGAN_v2 - Analyzing and Improving the Image Quality of StyleGAN

Video Action Recognition

(2014) C3D - Learning Spatiotemporal Features with 3D Convolutional Networks
(2014) LRCN - Long-term Recurrent Convolutional Networks for Visual Recognition and Description
(2014) Two Stream - Two-Stream Convolutional Networks for Action Recognition in Videos
(2016) LTC - Long-term Temporal Convolutionsfor Action Recognition
(2017) 3D ResNet - Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
(2017) I3D - Quo Vadis, Action Recognition. A New Model and the Kinetics Dataset
(2017) R(2+1)D - A Closer Look at Spatiotemporal Convolutions for Action Recognition
(2018) SlowFast - SlowFast Networks for Video Recognition
(2019) irCSN152 - Large-scale weakly-supervised pre-training for video action recognition
(2020) LateTemporarl3DCNN - Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition

XAI (Explaniable AI)

(2015) CAM - Learning Deep Features for Discriminative Localization
(2019) Grad_CAM - Visual Explanations from Deep Networks via Gradient-based Localization
(2020) Score_CAM - Score Weighted Visual Explanations for Convolutional Neural Networks

Knowledge Distillation

(2015) Distilling the knowledge in a Neural Network
(2019) Improved Knowledge Distillation via Teacher Assistant

Quantization

(2019) Post-Training 4-bit Quantization of convolutional networks for rapid deployment Paper (NeurIPS)
(2019) Post-Training 4-bit Quantization on Embedding
(2019) µLayer - Low Latency On-Device Inference Using Cooperative Single-Layer Acceleration and Processor-Friendly Quantization
(2020) Improving Post Training Neural Quantization
(2020) EasyQuant - Post-training Quantization via Scale Optimization
(2021) Post_Training weighted quantization of neural networks for language_models

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AI_Research

CNN

Classification Paper

Object Detection

Segmentation

OCR (Optimcal Character Recognition)

GAN

Video Action Recognition

XAI (Explaniable AI)

Knowledge Distillation

Quantization

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Name		Name	Last commit message	Last commit date
Latest commit History 116 Commits
_Image_AutoEncoder_paper		_Image_AutoEncoder_paper
_Image_Classification_paper		_Image_Classification_paper
_Image_GAN_paper		_Image_GAN_paper
_Image_Object_Detection_paper		_Image_Object_Detection_paper
_Image_PoseEstimation_paper		_Image_PoseEstimation_paper
_Image_Segmentation_Paper		_Image_Segmentation_Paper
_Optical_Character_Recognition_Captcha_paper		_Optical_Character_Recognition_Captcha_paper
_Optical_Character_Recognition_paper		_Optical_Character_Recognition_paper
_Seq2seq_Attention_paper		_Seq2seq_Attention_paper
_Video_Action_Recognition_paper		_Video_Action_Recognition_paper
img		img
GAN_CGAN.ipynb		GAN_CGAN.ipynb
GAN_DCGAN.ipynb		GAN_DCGAN.ipynb
GAN_Generative-Adversarial-Nets.ipynb		GAN_Generative-Adversarial-Nets.ipynb
GAN_Pix2Pix.ipynb		GAN_Pix2Pix.ipynb
Image_Classification_AlexNet.ipynb		Image_Classification_AlexNet.ipynb
Image_Classification_Bag-of-Trikcs.ipynb		Image_Classification_Bag-of-Trikcs.ipynb
Image_Classification_DenseNet.ipynb		Image_Classification_DenseNet.ipynb
Image_Classification_EfficientNet.ipynb		Image_Classification_EfficientNet.ipynb
Image_Classification_EfficientNet_v2.ipynb		Image_Classification_EfficientNet_v2.ipynb
Image_Classification_GoogleNet.ipynb		Image_Classification_GoogleNet.ipynb
Image_Classification_Inception_v2,v3,v4,resnet.ipynb		Image_Classification_Inception_v2,v3,v4,resnet.ipynb
Image_Classification_MobileNet_v1.ipynb		Image_Classification_MobileNet_v1.ipynb
Image_Classification_MobileNet_v2.ipynb		Image_Classification_MobileNet_v2.ipynb
Image_Classification_NasNet.ipynb		Image_Classification_NasNet.ipynb
Image_Classification_ResNet.ipynb		Image_Classification_ResNet.ipynb
Image_Classification_ResNet_followup.ipynb		Image_Classification_ResNet_followup.ipynb
Image_Classification_SENet.ipynb		Image_Classification_SENet.ipynb
Image_Classification_SPPNet.ipynb		Image_Classification_SPPNet.ipynb
Image_Classification_ShuffleNet_v1.ipynb		Image_Classification_ShuffleNet_v1.ipynb
Image_Classification_Squeezenet.ipynb		Image_Classification_Squeezenet.ipynb
Image_Classification_VGGNet.ipynb		Image_Classification_VGGNet.ipynb
Image_Classification_Xception.ipynb		Image_Classification_Xception.ipynb
LeNet.ipynb		LeNet.ipynb
OCR_CAPTCHA - Deep CAPTCHA.ipynb		OCR_CAPTCHA - Deep CAPTCHA.ipynb
Object_Detection_EfficientDet.ipynb		Object_Detection_EfficientDet.ipynb
Object_Detection_Fast_R-CNN.ipynb		Object_Detection_Fast_R-CNN.ipynb
Object_Detection_Faster_R-CNN.ipynb		Object_Detection_Faster_R-CNN.ipynb
Object_Detection_Feature_Pyramid_Network.ipynb		Object_Detection_Feature_Pyramid_Network.ipynb
Object_Detection_Metrics.ipynb		Object_Detection_Metrics.ipynb
Object_Detection_R-CNN.ipynb		Object_Detection_R-CNN.ipynb
Object_Detection_RetinaNet.ipynb		Object_Detection_RetinaNet.ipynb
Object_Detection_SSD.ipynb		Object_Detection_SSD.ipynb
Object_Detection_Yolo_Series_BoundingBox.ipynb		Object_Detection_Yolo_Series_BoundingBox.ipynb
Object_Detection_Yolo_v1.ipynb		Object_Detection_Yolo_v1.ipynb
Object_Detection_Yolo_v2,9000.ipynb		Object_Detection_Yolo_v2,9000.ipynb
Object_Detection_Yolo_v3.ipynb		Object_Detection_Yolo_v3.ipynb
Object_Detection_Yolo_v4.ipynb		Object_Detection_Yolo_v4.ipynb
README.md		README.md
Segmentation_Convolutional_Deconvolutional_Network.ipynb		Segmentation_Convolutional_Deconvolutional_Network.ipynb
Segmentation_DeepLab_V3+.ipynb		Segmentation_DeepLab_V3+.ipynb
Segmentation_Dilated-conv.ipynb		Segmentation_Dilated-conv.ipynb
Segmentation_Fully_Connected_Network.ipynb		Segmentation_Fully_Connected_Network.ipynb
Segmentation_Mask_RCNN.ipynb		Segmentation_Mask_RCNN.ipynb
Segmentation_PSPNet.ipynb		Segmentation_PSPNet.ipynb
Segmentation_U-net.ipynb		Segmentation_U-net.ipynb
Seq2seq_Attention.ipynb		Seq2seq_Attention.ipynb
Video_Action_Recognition_C3D.ipynb		Video_Action_Recognition_C3D.ipynb
Video_Action_Recognition_I3D.ipynb		Video_Action_Recognition_I3D.ipynb
Video_Action_Recognition_R(2+1)D.ipynb		Video_Action_Recognition_R(2+1)D.ipynb
Video_Action_Recognition_SlowFast.ipynb		Video_Action_Recognition_SlowFast.ipynb
Video_Action_Recognition_irCSN-152.ipynb		Video_Action_Recognition_irCSN-152.ipynb

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AI_Research

CNN

Classification Paper

Object Detection

Segmentation

OCR (Optimcal Character Recognition)

GAN

Video Action Recognition

XAI (Explaniable AI)

Knowledge Distillation

Quantization

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