Object Detection in Computer Vision - Lecture 22

Object Detection in Computer Vision - Lecture 22

UCF CRCV via YouTube Direct link

UCF R-CNN Training (bounding box regression/prediction)

7 of 16

7 of 16

UCF R-CNN Training (bounding box regression/prediction)

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Classroom Contents

Object Detection in Computer Vision - Lecture 22

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  1. 1 Intro
  2. 2 Which algorithm is better?
  3. 3 Detection as Classification
  4. 4 R-CNN Training (Fine-tuning)
  5. 5 R-CNN Training (feature extraction)
  6. 6 R-CNN Training (train classifier)
  7. 7 UCF R-CNN Training (bounding box regression/prediction)
  8. 8 Issue #1 with R-CNN
  9. 9 Fast R-CNN: Another view
  10. 10 Fast R-CNN: Region of Interest Pooling
  11. 11 ROI-Pooling
  12. 12 Problem of Fast R-CNN?
  13. 13 R-CNN Summary
  14. 14 Region proposal network (RPN)
  15. 15 Anchor boxes
  16. 16 Faster R-CNN

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