Existing deep convolutional neural networks (CNNs) require a fixed-size (e.g., 224224) input image. This requirement is “artificial” and may reduce the recognition accuracy for the images or sub-images of an arbitrary size/scale. In this work, we eq
ppt sppnet_ilsvrc2014.pdf 金字塔pooling spp！Microsoft
Research
Overview
·SPP-net
a new network structure
Classification
improves all CNNs
Detection
20-60x faster than r-CNN, as accurate
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Spatial Pyramid Pooling in Deep Convolutional Networks for V
