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In this work we show that adapting Deep Convolutional Neural Network training to the task of boundary detection can result in substantial improvements over the current state-of-the-art in boundary detection.
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Dietterich, Thomas G., Lathrop, Richard H., and Lozano-perez, Tomas · 1997
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Laplacian eigenmaps and spectral techniques for embedding and clustering
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Konishi, S., Yuille, A., Coughlan, J., and Zhu, S.-C · 2003
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Learning to detect natural image boundaries using local brightness, color, and texture cues
Martin, D., Fowlkes, C., and Malik, J · 2004
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Cour, Timothée, Bénézit, Florence, and Shi, Jianbo · 2005
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Supervised Learning of Edges and Object Boundaries
Dollar, P., Tu, Z., and Belongie, S · 2006
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Zhu, Qihui, Song, Gang, and Shi, Jianbo · 2007
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Multiscale helps boundary detection
Ren, Xiaofeng · 2008
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Efficient, high-quality image contour detection
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Adams, Andrew, Baek, Jongmin, and Davis, Myers Abraham · 2010
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Efficient inference in fully connected crfs with gaussian edge potentials
Krähenbühl, Philipp and Koltun, Vladlen · 2011
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Discriminatively trained sparse code gradients for contour detection
Ren, Xiaofeng and Bo, Liefeng · 2012
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Learning-based symmetry detection in natural images
Tsogkas, Stavros and Kokkinos, Iasonas · 2012
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2013
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Eigen, David and Fergus, Rob · 2014
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Depth map prediction from a single image using a multi-scale deep network
Semantic image segmentation with deep convolutional nets and fully connected crfs
Chen, Liang-Chieh, Papandreou, George, Kokkinos, Iasonas, Murphy, Kevin, and Yuille, Alan L · 2015
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Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
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Pixel-wise deep learning for contour detection
Hwang, J.-J. and Liu, T.-L · 2015
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Krähenbühl, Philipp and Koltun, Vladlen · 2015
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Deeply-supervised nets
Lee, Chen-Yu, Xie, Saining, Gallagher, Patrick W., Zhang, Zhengyou, and Tu, Zhuowen · 2015
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Rich feature hierarchies for accurate object detection and semantic segmentation
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Visual boundary prediction: A deep neural prediction network and quality dissection
Kivinen, Jyri J., Williams, Christopher K. I., and Heess, Nicolas · 2014
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The role of context for object detection and semantic segmentation in the wild
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Multiscale centerline detection
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