Jiahe Li 2019.03.04.

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Presentation transcript:

Jiahe Li 2019.03.04

Outlines Related Work Framework Datasets Experiments Conclusions

Regions with CNN features

Faster RCNN - RPN

R-FCN Framework

Loss Function

Position-sensitive RoI pooling

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)

Fully Convolutional Strategies

Faster R-CNN vs R-FCN

Result on PASCAL VOC

Result on MS COCO

Results

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