1. Jiahe Li

2. Outlines
Related Work
Framework
Datasets
Experiments
Conclusions

3. Regions with CNN features

4. Faster RCNN - RPN

6. R-FCN Framework

7. Loss Function

8. Position-sensitive RoI pooling

9. Datasets & Metrics PASCAL VOC MS COCO dataset
20 object categories
VOC 2007 and VOC 2012
MS COCO dataset
80 object categories
80k train set, 40k val set, and 20k test-dev set
mean Average Precision (mAP)

10. Fully Convolutional Strategies

11. Faster R-CNN vs R-FCN

12. Result on PASCAL VOC

13. Result on MS COCO

14. Results

15. Conclusions Region-based Fully Convolutional Networks
A simple but accurate and efficient framework