Contour Detection Using Cost-Sensitive Convolutional Neural Networks

CoRR, 2014.

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Abstract:

We address the problem of contour detection via per-pixel classifications of edge point. To facilitate the process, the proposed approach leverages with DenseNet, an efficient implementation of multiscale convolutional neural networks (CNNs), to extract an informative feature vector for each pixel and uses an SVM classifier to accomplis...More

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