Oriented Edge Forests for Boundary Detection

Classification and regression trees

L. Breiman, J. Friedman, C. J. Stone, and R. A. Olshen · 1984

Earlier work this paper cites.

A computational approach to edge detection

J. Canny · 1986

Earlier work this paper cites.

Edge focusing

F. Bergholm · 1987

Earlier work this paper cites.

The design and use of steerable filters

W. T. Freeman and E. H. Adelson · 1991

Earlier work this paper cites.

Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods

J. C. Platt · 1999

Earlier work this paper cites.

Representing and recognizing the visual appearance of materials using three-dimensional textons

T. Leung and J. Malik · 2001

Earlier work this paper cites.

Statistics of natural image categories

A. Torralba and A. Oliva · 2003

Earlier work this paper cites.

Learning to detect natural image boundaries using local brightness, color, and texture cues

D. R. Martin, C. C. Fowlkes, and J. Malik · 2004

Earlier work this paper cites.

Boundary extraction in natural images using ultrametric contour maps

P. Arbelaez · 2006

Cited alongside, same era.

Supervised learning of edges and object boundaries

P. Dollar, Z. Tu, and S. Belongie · 2006

Cited alongside, same era.

Multi-scale improves boundary detection in natural images

X. Ren · 2008

Cited alongside, same era.

Contour detection and hierarchical image segmentation

P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik · 2011

Cited alongside, same era.

Generalized boundaries from multiple image interpretations

M. Leordeanu, R. Sukthankar, and C. Sminchisescu · 2012

Cited alongside, same era.

Discriminatively trained sparse code gradients for contour detection

R. Xiaofeng and L. Bo · 2012

Cited alongside, same era.

Sketch tokens: A learned mid-level representation for contour and object detection

J. J. Lim, C. L. Zitnick, and P. Dollár · 2013

Later among the works it cites.

Multiscale combinatorial grouping

P. Arbeláez, J. Pont-Tuset, J. T. Barron, F. Marques, and J. Malik · 2014

Closest in time.

Fast edge detection using structured forests

Original

P. Dollár and C. L. Zitnick · 2014

Closest in time.

Crisp boundary detection using pointwise mutual information

P. Isola, D. Zoran, D. Krishnan, and E. H. Adelson · 2014

Closest in time.

Visual boundary prediction: A deep neural prediction network and quality dissection

J. J. Kivinen, C. K. Williams, N. Heess, and D. Technologies · 2014

Closest in time.

Reconstructive sparse code transfer for contour detection and semantic labeling