Towards Ultra-Low Power Embedded Object Detection

Towards Ultra-Low Power Embedded Object Detection

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Conclusion

16 of 19

16 of 19

Conclusion

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Classroom Contents

Towards Ultra-Low Power Embedded Object Detection

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  1. 1 Introduction
  2. 2 Challenges
  3. 3 Overview of Object Detection
  4. 4 Depth and Edge
  5. 5 Motion
  6. 6 Single Shot Detection
  7. 7 Small Deep Neural Networks
  8. 8 Techniques at all levels
  9. 9 Braininspired computing
  10. 10 Challenges in object detection
  11. 11 Optimization
  12. 12 Biological Approach
  13. 13 Selective Tile Processing
  14. 14 IOU
  15. 15 EdgeNet
  16. 16 Conclusion
  17. 17 Thank you
  18. 18 Poll
  19. 19 Sponsors

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