Deqing Sun- PWC Net- CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Deqing Sun- PWC Net- CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Andreas Geiger via YouTube Direct link

Robust Optical Flow Challenge

16 of 22

16 of 22

Robust Optical Flow Challenge

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Deqing Sun- PWC Net- CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

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  1. 1 Intro
  2. 2 Accuracy vs. Speed
  3. 3 Accuracy vs. Model Size
  4. 4 Brightness Constancy
  5. 5 A Simple Algorithm
  6. 6 Cost Volume (PWC)
  7. 7 Pyramidal Processing (PWC)
  8. 8 Build What We know into Network
  9. 9 Between Pyramidal Levels: Warping (PWC)
  10. 10 Effect of Each Principle
  11. 11 Cost Volume Is Better Than Features
  12. 12 Warping Helps
  13. 13 Closely related Work
  14. 14 Accuracy vs. Running Time
  15. 15 The Devils Are In The Details
  16. 16 Robust Optical Flow Challenge
  17. 17 What is important for Robustness?
  18. 18 A Hard Case
  19. 19 More Questions
  20. 20 Conclusions
  21. 21 Thank You!
  22. 22 Where is PWC.Net NOT Robust?

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