Deep Neural Machine Vision

TOOLS

1. Image deduplication

2. Segment anything by Meta

SUPER RESOLUTION

1. State of the art comparison

DETECTION

1. Review on DL technique applied to semantic segmentation

2. Mastery on obj detection - rcnn family and yolo family

3. Fair detectron

4. Maskrcnn benchmark, paper

5. Simpledet - obj detection and instance recognition

6. Mmdetection

7. Blind image separation

8. UNET

9. U^2 Net - using a detection network for pencil drawing generation and segmentation

10. FastAI image segmentation

11. 

12. 

13. You Only Look Once: Unified, Real-Time Object Detection, 2015.

14. YOLO9000: Better, Faster, Stronger, 2016.

15. YOLOv3: An Incremental Improvement, 2018

16. R-CNN: Regions with Convolutional Neural Network Features, GitHub.

17. Fast R-CNN, GitHub.

18. Faster R-CNN Python Code, GitHub.

19. YOLO, GitHub.

20. Rich feature hierarchies for accurate object detection and semantic segmentation, 2013.

21. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition, 2014.

22. Fast R-CNN, 2015.

23. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, 2016.

24. Mask R-CNN, 2017.

25. A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN, 2017.

26. Object Detection for Dummies Part 3: R-CNN Family, 2017.

27. Object Detection Part 4: Fast Detection Models, 2018.

28. Ikea ASM

RECOGNITION

1. Using image hashtags

Segmentation

1. Vit