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Spatial pyramid pooling networks (SPPnets) [11] were pro-posed to speed up R-CNN by sharing computation. The SPPnet method computes a convolutional feature map for the entire input image and then classifies each object pro-posal using a feature vector extracted from the shared fea-ture map. Features are extracted for a proposal by max-
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