From Saliency to Camouflage Analysis in Computer Vision

From Saliency to Camouflage Analysis in Computer Vision

UCF CRCV via YouTube Direct link

Proposed framework

13 of 36

13 of 36

Proposed framework

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From Saliency to Camouflage Analysis in Computer Vision

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  1. 1 Intro
  2. 2 Outline
  3. 3 Overview
  4. 4 The advancement of Artificial Intelligence
  5. 5 How about Computer Vision?
  6. 6 What can we do?
  7. 7 Visual Saliency: what is it?
  8. 8 FCN is coming out
  9. 9 FCN-based salient object detection methods
  10. 10 What can we do to detect salient object?
  11. 11 Stimulus revisit
  12. 12 Motivation
  13. 13 Proposed framework
  14. 14 Semantic Extraction
  15. 15 Explicit Saliency Map
  16. 16 Implicit Saliency Map
  17. 17 Saliency Fusion
  18. 18 Why do we need two maps?
  19. 19 Evaluation on HKUIS Dataset
  20. 20 Applications of Saliency Analysis
  21. 21 What's next?
  22. 22 We are talking about camouflaged objects
  23. 23 Why do we need camouflaged object segmentation?
  24. 24 Salient Objects vs. Camouflaged Objects
  25. 25 Why is salient object segmentation feasible?
  26. 26 What are the problems in camouflage analysis?
  27. 27 Related Work
  28. 28 Segmentation Branch
  29. 29 Classification Branch
  30. 30 Evaluation Metrics
  31. 31 Experimental Results
  32. 32 Current Research Directions
  33. 33 Future Plan
  34. 34 Potential Funding Agencies
  35. 35 Collaborators
  36. 36 Thank you very much for your attention!

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