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We develop a new edge detection algorithm that tackles two important issues in this long-standing vision problem: (1) holistic image training and prediction; and (2) multi-scale and multi-level feature learning.
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Supervised learning of edges and object boundaries
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Recovering occlusion boundaries from a single image
D. Hoiem, A. N. Stein, A. A. Efros, and M. Hebert · 2007
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Putting objects in perspective
D. Hoiem, A. A. Efros, and M. Hebert · 2008
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Multi-scale improves boundary detection in natural images
X. Ren · 2008
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Auto-context and its application to high-level vision tasks
Z. Tu · 2008
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Contour detection and hierarchical image segmentation
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik · 2011
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Nonparametric scene parsing via label transfer
C. Liu, J. Yuen, and A. Torralba · 2011
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N4-fields: Neural network nearest neighbor fields for image transforms
Y. Ganin and V. Lempitsky · 2014
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Learning rich features from rgb-d images for object detection and segmentation
S. Gupta, R. Girshick, P. Arbeláez, and J. Malik · 2014
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Oriented edge forests for boundary detection
S. Hallman and C. C. Fowlkes · 2014
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Visual boundary prediction: A deep neural prediction network and quality dissection
J. J. Kivinen, C. K. Williams, N. Heess, and D. Technologies · 2014
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Multi-scale deep learning for gesture detection and localization
N. Neverova, C. Wolf, G. W. Taylor, and F. Nebout · 2014
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Convolutional neural networks applied to house numbers digit classification
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Indoor segmentation and support inference from rgbd images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
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Multiscale convolutional neural networks for vision–based classification of cells
P. Buyssens, A. Elmoataz, and O. Lézoray · 2013
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Learning hierarchical features for scene labeling
C. Farabet, C. Couprie, L. Najman, and Y. LeCun · 2013
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Perceptual organization and recognition of indoor scenes from rgb-d images
S. Gupta, P. Arbelaez, and J. Malik · 2013
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Deepedge: A multi-scale bifurcated deep network for top-down contour detection
G. Bertasius, J. Shi, and L. Torresani · 2015
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Fast edge detection using structured forests
P. Dollár and C. L. Zitnick · 2015
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Hypercolumns for object segmentation and fine-grained localization
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Pixel-wise deep learning for contour detection
J.-J. Hwang and T.-L. Liu · 2015
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Deeply-supervised nets
C.-Y. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Deepcontour: A deep convolutional feature learned by positive-sharing loss for contour detection draft version
W. Shen, X. Wang, Y. Wang, X. Bai, and Z. Zhang · 2015
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Very deep convolutional networks for large-scale image recognition
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