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Classroom Contents
Object Detection in Computer Vision - Lecture 22
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- 1 Intro
- 2 Which algorithm is better?
- 3 Detection as Classification
- 4 R-CNN Training (Fine-tuning)
- 5 R-CNN Training (feature extraction)
- 6 R-CNN Training (train classifier)
- 7 UCF R-CNN Training (bounding box regression/prediction)
- 8 Issue #1 with R-CNN
- 9 Fast R-CNN: Another view
- 10 Fast R-CNN: Region of Interest Pooling
- 11 ROI-Pooling
- 12 Problem of Fast R-CNN?
- 13 R-CNN Summary
- 14 Region proposal network (RPN)
- 15 Anchor boxes
- 16 Faster R-CNN