Exploring Relationships Between Ground and Aerial Views by Synthesis and Matching

Exploring Relationships Between Ground and Aerial Views by Synthesis and Matching

UCF CRCV via YouTube Direct link

Conclusion

21 of 35

21 of 35

Conclusion

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Classroom Contents

Exploring Relationships Between Ground and Aerial Views by Synthesis and Matching

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  1. 1 Introduction
  2. 2 X Fork Architecture
  3. 3 Quantitative Evaluation
  4. 4 Summary
  5. 5 Limitations
  6. 6 Approach
  7. 7 Qualitative Results
  8. 8 Homography Results
  9. 9 User Study
  10. 10 Quantitative Results
  11. 11 Crossview Image Matching
  12. 12 Encoder Architecture
  13. 13 Joint Feature Learning Architecture
  14. 14 Feature Fusion Approach
  15. 15 Loss Function
  16. 16 Experiments
  17. 17 Results
  18. 18 Accuracy
  19. 19 Accuracy plots
  20. 20 Image retrieval
  21. 21 Conclusion
  22. 22 Problem Statement
  23. 23 Transformer Encoder
  24. 24 Prediction Regression
  25. 25 Loss Functions
  26. 26 GPS Loss
  27. 27 Hyper Parameters
  28. 28 Dataset
  29. 29 Quantity Evaluation
  30. 30 Recap
  31. 31 Final Conclusion
  32. 32 Future Research Directions
  33. 33 Questions
  34. 34 GPS Data
  35. 35 GPS Data Types

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