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Exploiting multi-scale representations is critical to improve edge detection for objects at different scales.
On the accuracy of the sobel edge detector
J. Kittler · 1983
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A computational approach to edge detection
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Scale-space filtering
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Mean shift: A robust approach toward feature space analysis
D. Comaniciu and P. Meer · 2002
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Statistical edge detection: Learning and evaluating edge cues
S. Konishi, A. L. Yuille, J. M. Coughlan, and S. C. Zhu · 2003
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Learning to detect natural image boundaries using local brightness, color, and texture cues
D. R. Martin, C. C. Fowlkes, and J. Malik · 2004
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Grabcut: Interactive foreground extraction using iterated graph cuts
C. Rother, V. Kolmogorov, and A. Blake · 2004
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Groups of adjacent contour segments for object detection
V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid · 2008
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Multi-scale improves boundary detection in natural images
X. Ren · 2008
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Contour detection and hierarchical image segmentation
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik · 2011
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Discriminatively trained sparse code gradients for contour detection
X. Ren and L. Bo · 2012
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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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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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Sketch tokens: A learned mid-level representation for contour and object detection
J. J. Lim, C. L. Zitnick, and P. Dollár · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 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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Crisp boundary detection using pointwise mutual information
P. Isola, D. Zoran, D. Krishnan, and E. H. Adelson · 2014
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Recurrent convolutional neural networks for scene labeling
P. Pinheiro and R. Collobert · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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Deepedge: A multi-scale bifurcated deep network for top-down contour detection
Convolutional oriented boundaries
K. Maninis, J. Pont-Tuset, P. Arbeláez, and L. V. Gool · 2016
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A systematic comparison between visual cues for boundary detection
D. A. Mély, J. Kim, M. McGill, Y. Guo, and T. Serre · 2016
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Deep decision network for multi-class image classification
V. N. Murthy, V. Singh, T. Chen, R. Manmatha, and D. Comaniciu · 2016
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Object contour detection with a fully convolutional encoder-decoder network
J. Yang, B. Price, S. Cohen, H. Lee, and M.-H. Yang · 2016
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Hard-aware deeply cascaded embedding
Y. Yuan, K. Yang, and C. Zhang · 2016
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Multi-scale dense convolutional networks for efficient prediction
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G. Bertasius, J. Shi, and L. Torresani · 2015
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High-for-low and low-for-high: Efficient boundary detection from deep object features and its applications to high-level vision
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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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
D. Eigen and R. Fergus · 2015
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Oriented edge forests for boundary detection
S. Hallman and C. C. Fowlkes · 2015
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Pushing the boundaries of boundary detection using deep learning
I. Kokkinos · 2015
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A convolutional neural network cascade for face detection
H. Li, Z. Lin, X. Shen, J. Brandt, and G. Hua · 2015
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G. Huang, D. Chen, T. Li, F. Wu, L. van der Maaten, and K. Q. Weinberger · 2017
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Srn: Side-output residual network for object symmetry detection in the wild
W. Ke, J. Chen, J. Jiao, G. Zhao, and Q. Ye · 2017
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Not all pixels are equal: Difficulty-aware semantic segmentation via deep layer cascade
X. Li, Z. Liu, P. Luo, C. Change Loy, and X. Tang · 2017
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Deep-learning-based object-level contour detection with ccg and crf optimization
Y. Liao, S. Fu, X. Lu, C. Zhang, and Z. Tang · 2017
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Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
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Richer convolutional features for edge detection
Y. Liu, M.-M. Cheng, X. Hu, K. Wang, and X. Bai · 2017
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Deep crisp boundaries
Y. Wang, X. Zhao, and K. Huang · 2017
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Holistically-nested edge detection
S. Xie and Z. Tu · 2017
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Learning deep structured multi-scale features using attention-gated crfs for contour prediction
D. Xu, W. Ouyang, X. Alameda-Pineda, E. Ricci, X. Wang, and N. Sebe · 2017
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Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
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Learning to predict crisp boundaries
R. Deng, C. Shen, S. Liu, H. Wang, and X. Liu · 2018
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Convolutional oriented boundaries: From image segmentation to high-level tasks
K.-K. Maninis, J. Pont-Tuset, P. Arbeláez, and L. Van Gool · 2018
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Hierarchical multi-scale attention networks for action recognition
S. Yan, J. S. Smith, W. Lu, and B. Zhang · 2018
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