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Machine & Deep Learning Compendium
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Deep Neural Machine Vision

TOOLS

SUPER RESOLUTION

DETECTION

  1. 1.
    ​Review on DL technique applied to semantic segmentation​
  2. 2.
    ​Mastery on obj detection - rcnn family and yolo family
  3. 3.
    Fair detectron​
  4. 4.
    ​Maskrcnn benchmark, paper​
  5. 5.
    ​Simpledet - obj detection and instance recognition​
  6. 6.
    ​Mmdetection​
  7. 7.
    ​Blind image separation​
  8. 8.
    ​UNET​
  9. 9.
    ​U^2 Net - using a detection network for pencil drawing generation and segmentation​
  10. 10.
    ​FastAI image segmentation​
  11. 11.
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  12. 12.
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  13. 13.
    ​You Only Look Once: Unified, Real-Time Object Detection, 2015.
  14. 14.
    ​YOLO9000: Better, Faster, Stronger, 2016.
  15. 15.
    ​YOLOv3: An Incremental Improvement, 2018
  16. 16.
    ​R-CNN: Regions with Convolutional Neural Network Features, GitHub.
  17. 17.
    ​Fast R-CNN, GitHub.
  18. 18.
    ​Faster R-CNN Python Code, GitHub.
  19. 19.
    ​YOLO, GitHub.
  20. 20.
    ​Rich feature hierarchies for accurate object detection and semantic segmentation, 2013.
  21. 21.
    ​Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition, 2014.
  22. 22.
    ​Fast R-CNN, 2015.
  23. 23.
    ​Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, 2016.
  24. 24.
    ​Mask R-CNN, 2017.
  25. 25.
    ​A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN, 2017.
  26. 26.
    ​Object Detection for Dummies Part 3: R-CNN Family, 2017.
  27. 27.
    ​Object Detection Part 4: Fast Detection Models, 2018.
  28. 28.
    ​Ikea ASM​
  29. 29.
    ​

RECOGNITION

Segmentation

  1. 1.
    ​Vit​
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