Hoya012's Research Blog

Deep Learning Classification Guidebook

  • Deep Learning Image Classification Guidebook [4] Squeeze-and-Excitation Network (SENet), ShuffleNet, CondenseNet, MobileNetV2, ShuffleNetV2, NASNet, AmoebaNet, PNASNet, MnasNet , 20/04/03 .
  • Deep Learning Image Classification Guidebook [3] SqueezeNet, Xception, MobileNet, ResNext, PolyNet, PyramidNet, Residual Attention Network, DenseNet, Dual Path Network (DPN) , 20/03/20 .
  • Deep Learning Image Classification Guidebook [2] PreActResNet, Inception-v2, Inception-v3, Inception-v4, Inception-ResNet, Stochastic Depth ResNet, WRN , 20/03/06 .
  • Deep Learning Image Classification Guidebook [1] LeNet, AlexNet, ZFNet, VGG, GoogLeNet, ResNet , 20/03/03 .

    • Self-Supervised Learning (Visual Representation Learning)

  • Bootstrap Your Own Latent： A New Approach to Self-Supervised Learning 리뷰 , 20/06/22 .
  • Unsupervised Visual Representation Learning Overview: Toward Self-Supervision , 19/12/10 .

    • Object Detection

  • YOLOv4：Optimal Speed and Accuracy of Object Detection Review , 20/05/26 .
  • Tutorials of Object Detection using Deep Learning [9] Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving Review , 19/10/11 .
  • Tutorials of Object Detection using Deep Learning [8] Object Detection Labeling Guide , 19/01/23 .
  • Tutorials of Object Detection using Deep Learning [7] Object Detection 최신 논문 Review , 19/01/11 .
  • Tutorials of Object Detection using Deep Learning [6] Object Detection Multi Scale Testing Method Review , 19/01/02 .
  • Tutorials of Object Detection using Deep Learning [5] Training Deep Networks with Synthetic Data Bridging the Reality Gap by Domain Randomization Review , 18/11/23 .
  • Tutorials of Object Detection using Deep Learning [4] How to measure performance of object detection , 18/11/03 .
  • Tutorials of Object Detection using Deep Learning [3] The application of Object Detection , 18/10/26 .
  • Tutorials of Object Detection using Deep Learning [2] First Object Detection using Deep Learning , 18/10/19 .
  • Tutorials of Object Detection using Deep Learning [1] What is object detection? , 18/10/18 .

    • Classification

  • Fast and Accurate Model Scaling 리뷰 , 21/03/31 .
  • Transformers in Vision: A Survey [1] Transformer 소개 & Transformers for Image Recognition , 21/02/18 .
  • Do Adversarially Robust ImageNet Models Transfer Better? 리뷰 , 20/12/07 .
  • Self-training with Noisy Student improves ImageNet classification Review , 19/11/14 .
  • Bag of Tricks for Image Classification with Convolutional Neural Networks Review , 19/06/20 .
  • Pelee Tutorial [2] PeleeNet PyTorch Code Implementation , 19/02/13 .
  • Pelee Tutorial [1] Paper Review & Implementation details , 19/02/12 .
  • DenseNet Tutorial [2] PyTorch Code Implementation , 19/01/28 .
  • DenseNet Tutorial [1] Paper Review & Implementation details , 19/01/27 .
  • Learning From Noisy Large-Scale Datasets With Minimal Supervision 리뷰 , 18/07/14 .
  • Improved Regularization of Convolutional Neural Networks with Cutout 리뷰 , 18/06/15 .
  • Shake-Shake Regularization Review & TensorFlow code implementation , 18/06/11 .

    • Anomaly Detection

  • Unsupervised Anomaly Detection Using Style Distillation 리뷰 , 21/03/03 .
  • MVTec AD—A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection 리뷰 , 20/07/19 .
  • Anomaly Detection 개요: [2] Out-of-distribution(OOD) Detection 문제 소개 및 핵심 논문 리뷰 , 20/02/20 .
  • Anomaly Detection 개요: [1] 이상치 탐지 분야에 대한 소개 및 주요 문제와 핵심 용어, 산업 현장 적용 사례 정리 , 20/01/30 .

    • AutoML

  • Evolving Normalization-Activation Layers Review , 20/04/20 .
  • AutoML-Zero：Evolving Machine Learning Algorithms From Scratch Review , 20/03/12 .
  • EfficientDet: Scalable and Efficient Object Detection Review , 19/11/22 .
  • EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling 리뷰 , 19/05/31 .
  • Learning Transferable Architectures for Scalable Image Recognition 리뷰 , 18/09/28 .

    • Semantic Segmentation

  • Semantic Segmentation PyTorch Tutorial & ECCV 2020 VIPriors Challenge 참가 후기 정리 , 20/08/03 .

    • Conference Preview

  • ICLR 2020 image recognition paper preview , 20/01/07 .
  • ICCV 2019 paper preview , 19/10/01 .
  • CVPR 2019 paper preview , 19/04/19 .
  • ICLR 2019 image recognition paper preview , 18/12/28 .
  • NeurIPS 2018 image recognition paper preview , 18/12/06 .

    • Conference Review

  • ECCV 2020 Virtual Conference 참석 후기 및 프로그램 소개 , 20/09/03 .
  • ICCV 2019 Review [2] Best Paper SinGAN： Learning a Generative Model from a Single Natural Image 리뷰 , 19/11/03 .
  • ICCV 2019 Review [1] 참석 후기 및 프로그램 소개 , 19/11/03 .
  • ICLR 2019 참석 후기 및 단순하고 효과적인 Network Pruning 방법론을 다룬 Best Paper 리뷰 , 19/05/23 .
  • SIGGRAPH 2018 review [2] 사람의 지각을 반영한 visibility metric 및 논문 4편 소개 , 18/12/17 .
  • SIGGRAPH 2018 review [1] 참석 후기 및 프로그램 소개 , 18/12/14 .

    • ETC.

  • Image Data Augmentation Overview , 21/05/11 .
  • Image Classification with Stochastic Weight Averaging PyTorch Tutorial , 20/10/22 .
  • Averaging Weights Leads to Wider Optima and Better Generalization 리뷰 , 20/10/14 .
  • Image Classification with Automatic Mixed-Precision Training PyTorch Tutorial , 20/08/25 .
  • Mixed-Precision Training of Deep Neural Networks , 20/08/10 .
  • Reproducible PyTorch를 위한 randomness 올바르게 제어하기! , 20/06/29 .
  • An introduction to entropy, cross entropy and KL divergence in machine learning , 20/06/03 .
  • SNUAI 스터디 7기 발표 내용 소개 및 후기 , 20/05/14 .
  • albumentations - fast image augmentation library 소개 및 사용법 Tutorial , 20/03/23 .
  • Single Image Super Resolution using Deep Learning Overview , 19/07/26 .
  • Fast Style Transfer PyTorch Tutorial , 19/03/05 .

    • No Research..!

  • Hoya012 Blog 2020년을 마치며! , 20/12/30 .
  • 독학으로 조주기능사(바텐더) 자격증 따기! [합격 후기] , 20/05/18 .
  • Research Blog 2019년을 마치며! , 19/12/13 .

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