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+# CSE559A Lecture 15
+
+## Continue on object detection
+
+### Two strategies for object detection
+
+#### R-CNN: Region proposals + CNN features
+
+![R-CNN](https://notenextra.trance-0.com/CSE559A/R-CNN.png)
+
+#### Fast R-CNN: CNN features + RoI pooling
+
+![Fast R-CNN](https://notenextra.trance-0.com/CSE559A/Fast-R-CNN.png)
+
+Use bilinear interpolation to get the features of the proposal.
+
+#### Region of interest pooling
+
+![RoI pooling](https://notenextra.trance-0.com/CSE559A/RoI-pooling.png)
+
+Use backpropagation to get the gradient of the proposal.
+
+### New materials
+
+#### Faster R-CNN
+
+Use one CNN to generate region proposals. And use another CNN to classify the proposals.
+
+
+
+