Semantic Segmentation with Deep Learning

We present a deep convolutional neural network approach for producing semantic segmentations. First, we generalize the architecture of the successful Alexnet network [7] to directly predict coarse segmentations. Second, we produce full resolution segmentations by re-ranking a diverse set of plausible segmentation proposals generated from a recent state of the art approach [9].

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