Fetching the paper…
Reading the bibliography…
In this paper, we address the design of lightweight deep learning-based edge detection.
“On the accuracy of the sobel edge detector,”
J. Kittler, · 1983
Earlier work this paper cites.
“A computational approach to edge detection,”
J. Canny, · 1986
Earlier work this paper cites.
“Contour detection and hierarchical image segmentation,”
P. Arbeláez, M. Maire, C. Fowlkes, and J. Malik, · 2011
Earlier work this paper cites.
“Sketch tokens: A learned mid-level representation for contour and object detection,”
J. J. Lim, C. L. Zitnick, and P. Dollár, · 2013
Earlier work this paper cites.
“The role of context for object detection and semantic segmentation in the wild,”
R. Mottaghi, X. Chen, X. Liu, N.-G. Cho, S.-W. Lee, S. Fidler, R. Urtasun, , and A. L. Yuille, · 2014
Earlier work this paper cites.
“Very deep convolutional networks for large-scale image recognition,”
K. Simonyan and A. Zisserman, · 2015
Earlier work this paper cites.
“Fast edge detection using structured forests,”
P. Dollár and C. L. Zitnick, · 2015
Cited alongside, same era.
“Holistically-nested edge detection,”
S. Xie and Z. Tu, · 2015
Cited alongside, same era.
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille, · 2016
Cited alongside, same era.
“Deep residual learning for image recognition,”
K. He, X. Zhang, S. Ren, and J. Sun, · 2016
Cited alongside, same era.
“Deep crisp boundaries,”
X. Zhao Y. Wang and K. Huang, · 2017
Cited alongside, same era.
“Richer convolutional features for edge detection,”
Y. Liu, M.-M. Cheng, X. Hu, K. Wang, , and X. Bai, · 2017
Cited alongside, same era.
“Refinenet: Multi-path refinement networks for high-resolution semantic segmentation,”
G. Lin, A. Milan, C. Shen, and I. Reid, · 2017
Later among the works it cites.
“Learning to predict crisp boundaries,”
R. Deng, C. Shen, S. Liu, H. Wang, and X. Liu, · 2018
Later among the works it cites.
“Bi-directional cascade network for perceptual edge detection,”
J. He, S. Zhang, M. Yang, Y. Shan, and T. Huang, · 2019
Later among the works it cites.
“Traditional method inspired deep neural network for edge detection,”
J. K. Wibisono and H. M. Hang, · 2020
Closest in time.
“Dsnet: Joint semantic learning for object detection in inclement weather conditions,”
S. Huang, T. Le, and D. Jaw, · 2020
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…