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Volumn 07-12-June-2015, Issue , 2015, Pages 4380-4389

DeepEdge: A multi-scale bifurcated deep network for top-down contour detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; FEATURE EXTRACTION; IMAGE SEGMENTATION; OBJECT RECOGNITION; PATTERN RECOGNITION;

EID: 84959231756     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7299067     Document Type: Conference Paper
Times cited : (500)

References (34)
  • 4
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:121-167, 1998
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 5
    • 0022808786 scopus 로고
    • A computational approach to edge detection
    • June
    • J. Canny. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 8(6):679-698, June 1986
    • (1986) IEEE Trans. Pattern Anal. Mach. Intell , vol.8 , Issue.6 , pp. 679-698
    • Canny, J.1
  • 7
    • 84947781852 scopus 로고    scopus 로고
    • Fast edge detection using structured forests
    • P. Dollár and C. L. Zitnick. Fast edge detection using structured forests. PAMI, 2015
    • (2015) PAMI
    • Dollár, P.1    Zitnick, C.L.2
  • 9
    • 84959181749 scopus 로고    scopus 로고
    • N4-fields: Neural network nearest neighbor fields for image transforms
    • Y. Ganin and V. S. Lempitsky. N4-fields: Neural network nearest neighbor fields for image transforms. ACCV, 2014
    • (2014) ACCV
    • Ganin, Y.1    Lempitsky, V.S.2
  • 11
    • 84959233893 scopus 로고    scopus 로고
    • Hypercolumns for object segmentation and fine-grained localization
    • abs/1411. 5752
    • B. Hariharan, P. A. Arbeláez, R. B. Girshick, and J. Malik. Hypercolumns for object segmentation and fine-grained localization. CoRR, abs/1411. 5752, 2014
    • (2014) CoRR
    • Hariharan, B.1    Arbeláez, P.A.2    Girshick, R.B.3    Malik, J.4
  • 13
    • 84959189529 scopus 로고    scopus 로고
    • Crisp boundary detection using pointwise mutual information
    • P. Isola, D. Zoran, D. Krishnan, and E. H. Adelson. Crisp boundary detection using pointwise mutual information. In ECCV, 2014
    • (2014) ECCV
    • Isola, P.1    Zoran, D.2    Krishnan, D.3    Adelson, E.H.4
  • 16
    • 84959243006 scopus 로고    scopus 로고
    • Visual boundary prediction: A deep neural prediction network and quality dissection
    • J. J. Kivinen, C. K. Williams, N. Heess, and D. Technologies. Visual boundary prediction: A deep neural prediction network and quality dissection. AISTATS, 1(2):9, 2014
    • (2014) AISTATS , vol.1 , Issue.2 , pp. 9
    • Kivinen, J.J.1    Williams, C.K.2    Heess, N.3    Technologies, D.4
  • 17
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • F. Pereira, C. Burges, L. Bottou, and K. Weinberger, editors,Curran Associates, Inc
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In F. Pereira, C. Burges, L. Bottou, and K. Weinberger, editors, Advances in Neural Information Processing Systems 25, pages 1097-1105. Curran Associates, Inc., 2012
    • (2012) Advances in Neural Information Processing Systems , vol.25 , pp. 1097-1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 18
    • 84887354170 scopus 로고    scopus 로고
    • Sketch tokens: A learned mid-level representation for contour and object detection
    • J. Lim, C. L. Zitnick, and P. Dollár. Sketch tokens: A learned mid-level representation for contour and object detection. In CVPR, 2013
    • (2013) CVPR
    • Lim, J.1    Zitnick, C.L.2    Dollár, P.3
  • 19
    • 84940748339 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • abs/1411. 4038
    • J. Long, E. Shelhamer, and T. Darrell. Fully convolutional networks for semantic segmentation. CoRR, abs/1411. 4038, 2014
    • (2014) CoRR
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 21
    • 0035358181 scopus 로고    scopus 로고
    • Contour and texture analysis for image segmentation
    • June
    • J. Malik, S. Belongie, T. Leung, and J. Shi. Contour and texture analysis for image segmentation. Int. J. Comput. Vision, 43(1):7-27, June 2001
    • (2001) Int. J. Comput. Vision , vol.43 , Issue.1 , pp. 7-27
    • Malik, J.1    Belongie, S.2    Leung, T.3    Shi, J.4
  • 22
    • 84863411575 scopus 로고    scopus 로고
    • Ensemble of exemplar-svms for object detection and beyond
    • T. Malisiewicz, A. Gupta, and A. A. Efros. Ensemble of exemplar-svms for object detection and beyond. In ICCV, 2011
    • (2011) ICCV
    • Malisiewicz, T.1    Gupta, A.2    Efros, A.A.3
  • 23
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • July
    • D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In Proc. 8th Int'l Conf. Computer Vision, volume 2, pages 416-423, July 2001
    • (2001) Proc. 8th Int'l Conf. Computer Vision , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 24
    • 33745844838 scopus 로고    scopus 로고
    • A boundary-fragment-model for object detection
    • A. Opelt and A. Zisserman. A boundary-fragment-model for object detection. In In ECCV, pages 575-588, 2006
    • (2006) ECCV , pp. 575-588
    • Opelt, A.1    Zisserman, A.2
  • 25
    • 84925305292 scopus 로고    scopus 로고
    • Recurrent convolutional neural networks for scene parsing
    • abs/1306. 2795
    • P. H. O. Pinheiro and R. Collobert. Recurrent convolutional neural networks for scene parsing. CoRR, abs/1306. 2795, 2013
    • (2013) CoRR
    • Pinheiro, P.H.O.1    Collobert, R.2
  • 26
  • 27
    • 85026930750 scopus 로고    scopus 로고
    • Scale-invariant contour completion using condition random fields
    • X. Ren, C. C. Fowlkes, and J. Malik. Scale-invariant contour completion using condition random fields. Technical report
    • Technical Report
    • Ren, X.1    Fowlkes, C.C.2    Malik, J.3
  • 29
    • 84906486689 scopus 로고    scopus 로고
    • Overfeat: Integrated recognition, localization and detection using convolutional networks
    • abs/1312. 6229
    • P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. CoRR, abs/1312. 6229, 2013
    • (2013) CoRR
    • Sermanet, P.1    Eigen, D.2    Zhang, X.3    Mathieu, M.4    Fergus, R.5    LeCun, Y.6
  • 31
    • 33745868940 scopus 로고    scopus 로고
    • Contour-based learning for object detection
    • J. Shotton. Contour-based learning for object detection. In In Proc. ICCV, pages 503-510, 2005
    • (2005) Proc. ICCV , pp. 503-510
    • Shotton, J.1
  • 33
    • 84957655992 scopus 로고    scopus 로고
    • Deeppose: Human pose estimation via deep neural networks
    • abs/1312. 4659
    • A. Toshev and C. Szegedy. Deeppose: Human pose estimation via deep neural networks. CoRR, abs/1312. 4659, 2013
    • (2013) CoRR
    • Toshev, A.1    Szegedy, C.2
  • 34
    • 84925415191 scopus 로고    scopus 로고
    • Panda: Pose aligned networks for deep attribute modeling
    • abs/1311. 5591
    • N. Zhang, M. Paluri, M. Ranzato, T. Darrell, and L. Bourdev. Panda: Pose aligned networks for deep attribute modeling. CoRR, abs/1311. 5591, 2013.
    • (2013) CoRR
    • Zhang, N.1    Paluri, M.2    Ranzato, M.3    Darrell, T.4    Bourdev, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.