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Edge detection is among the most fundamental vision problems for its role in perceptual grouping and its wide applications.
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Prasad, M., Zisserman, A., Fitzgibbon, A., Kumar, M.P., Torr, P.H.: Learning class-specific edges for object detection and segmentation. In: Computer Vision, Graphics and Image Processing (2006)
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Hariharan, B., Arbeláez, P., Bourdev, L., Maji, S., Malik, J.: Semantic contours from inverse detectors. In: ICCV (2011)
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Karsch, K., Liao, Z., Rock, J., Barron, J.T., Hoiem, D.: Boundary cues for 3d object shape recovery. In: CVPR (2013)
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Chen, L.C., Barron, J.T., G. Papandreou, K.M., Yuille, A.L.: Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform. In: CVPR (2016)
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Cited alongside, same era.
Lim, J., Zitnick, C., Dollar, P.: Sketch tokens: A learned mid-level representation for contour and object detection. In: CVPR (2013)
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Arbeláez, P., Pont-Tuset, J., Barron, J., Marques, F., Malik, J.: Multiscale combinatorial grouping. In: CVPR (2014)
2014
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Maire, M., Yu, S.X., Perona, P.: Reconstructive sparse code transfer for contour detection and semantic labeling. In: ACCV (2014)
2014
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Shan, Q., Curless, B., Furukawa, Y., Hernandez, C., Seitz, S.: Occluding contours for multi-view stereo. In: CVPR (2014)
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Bertasius, G., Shi, J., Torresani, L.: Deepedge: A multiscale bifurcated deep network for top-down contour detection. In: CVPR (2015)
2015
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Bertasius, G., Shi, J., Torresani, L.: High-for-low, low-for-high: Efficient boundary detection from deep object features and its applications to high-level vision. In: ICCV (2015)
2015
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Dollár, P., Zitnick, C.L.: Fast edge detection using structured forests. IEEE Trans. PAMI 37
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Kokkinos, I.: Pushing the boundaries of boundary detection using deep learning (2016)
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Liu, Y., Cheng, M.M., Hu, X., Wang, K., Bai, X.: Richer convolutional features for edge detection. In: CVPR (2017)
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Patrini, G., Rozza, A., Menon, A.K., Nock, R., Qu, L.: Making deep neural networks robust to label noise: a loss correction approach. In: CVPR (2017)
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Yu, Z., Feng, C., Liu, M.Y., Ramalingam, S.: Casenet: Deep category-aware semantic edge detection. In: CVPR (2017)
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Wang, Y., Liu, W., Ma, X., Bailey, J., Zha, H., Song, L., Xia, S.T.: Iterative learning with open-set noisy labels. In: CVPR (2018)
2018
Closest in time.
Zitnick, C.L., Dollár, P.: Edge boxes: Locating object proposals from edges. In: ECCV (2014)
2018
Closest in time.