/Paper-Reading

(Deprecated) 딥 러닝 논문을 읽고 정리합니다. 최신 글은 magmatart.dev에서 확인 가능합니다.

Paper-Reading

(Deprecated) 최신 글은 magmatart.dev에서 확인 가능합니다.

Lists

  1. Fully Convolutional Networks for Semantic Segmentation (FCN)
  2. Faster-RCNN : Towards Real-Time Object Detection with Region Proposal Networks (Faster R-CNN)
  3. You Only Look Once: Unified, Real-Time Object Detection (YOLO)
  4. SSD: Single Shot MultiBox Detector (SSD)
  5. Deformable Convolutional Networks
  6. Generative Adversarial Networks (GAN)
  7. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (DCGAN)
  8. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets (InfoGAN)
  9. Focal Loss for Dense Object Detection (RetinaNet)
  10. Mask R-CNN
  11. Light-Head R-CNN: In Defense of Two-Stage Object Detector (Light-Head R-CNN)
  12. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN)
  13. Unsupervised Cross-Domain Image Generation (DTN, UCDIG)
  14. Conditional Generative Adversarial Nets (CGAN)
  15. Learning from Simulated and Unsupervised Images through Adversarial Training (SimGAN)
  16. Energy-Based Generative Adversarial Networks (EBGAN)
  17. Improved Techniques for Training GANs
  18. ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)
  19. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (SRGAN)