Object Detection with Transformers - From Training to Deployment

Object Detection with Transformers - From Training to Deployment

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Object Detection

3 of 29

3 of 29

Object Detection

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Object Detection with Transformers - From Training to Deployment

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  1. 1 Introduction
  2. 2 Outline
  3. 3 Object Detection
  4. 4 Prediction Problem
  5. 5 Mean Average Precision
  6. 6 Why should we care
  7. 7 Transformer Decoder Architecture
  8. 8 Positional Encoding
  9. 9 Decoder
  10. 10 Prediction
  11. 11 Training
  12. 12 DebtR Performance
  13. 13 DebtR Drawbacks
  14. 14 Deformable Attention
  15. 15 Multiscale Features
  16. 16 Performance
  17. 17 State of the Art
  18. 18 Training Models
  19. 19 Defining PiTorch Trial
  20. 20 Defining Experiment Config
  21. 21 Determining Web UI
  22. 22 HP Search
  23. 23 Other Metrics
  24. 24 Tensorboard
  25. 25 Automatic Fault Tolerance
  26. 26 Save Model
  27. 27 Output
  28. 28 Results
  29. 29 Conclusion

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