Region Based Convolutional Neural Networks: Difference between revisions

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Architecture: selective search pseudocode
R-CNN: roi pool
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=== Fast R-CNN ===
[[File:Fast-rcnn.svg|thumb|Fast R-CNN]]While the original R-CNN independently computed the neural network features on each of as many as two thousand regions of interest, Fast R-CNN runs the neural network once on the whole image.<ref name=":3" />
[[File:RoI_pooling_animated.gif|thumb|268x268px|RoI pooling to size 2x2. In this example region proposal (an input parameter) has size 7x5.]]
 
At the end of the network is a '''ROIPooling''' module, which slices out each ROI from the network's output tensor, reshapes it, and classifies it. As in the original R-CNN, the Fast R-CNN uses selective search to generate its region proposals.