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Improving Deep Learning Image Recognition Performance Using Region of Interest Localization Networks

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Figure

Figure 1.1: The standard net architecture: this figure shows the architecture of the standardlocalization net
Figure 1.2: The architecture of wide net: the network is composed of three levels. Level 1 isjust like any typical recognition network
Figure 1.3: The units in a layer can be upsampled by repetition. The unit is repeated acrosstwo dimensions to upsample the layer
Figure 2.1: The overview of the method: First, two models are trained to localize the bonnetand the blow hole, respectively
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