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Volumn 2016-December, Issue , 2016, Pages 3141-3149

Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; PRASEODYMIUM COMPOUNDS; STATISTICAL TESTS;

EID: 84986256919     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.342     Document Type: Conference Paper
Times cited : (100)

References (37)
  • 2
    • 85083954148 scopus 로고    scopus 로고
    • Semantic image segmentation with deep convolutional nets and fully connected crfs
    • L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille. Semantic image segmentation with deep convolutional nets and fully connected crfs. In ICLR, 2015.
    • (2015) ICLR
    • Chen, L.-C.1    Papandreou, G.2    Kokkinos, I.3    Murphy, K.4    Yuille, A.L.5
  • 3
    • 84959224495 scopus 로고    scopus 로고
    • Multi-instance object segmentation with occlusion handling
    • Y. Chen, X. Liu, and M. Yang. Multi-instance object segmentation with occlusion handling. In CVPR, pages 3470-3478, 2015.
    • (2015) CVPR , pp. 3470-3478
    • Chen, Y.1    Liu, X.2    Yang, M.3
  • 4
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik. Support-vector networks. Machine Learning, 20(3):273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 5
    • 84959216100 scopus 로고    scopus 로고
    • Convolutional feature masking for joint object and stuff segmentation
    • J. Dai, K. He, and J. Sun. Convolutional feature masking for joint object and stuff segmentation. In CVPR, pages 3992-4000, 2015.
    • (2015) CVPR , pp. 3992-4000
    • Dai, J.1    He, K.2    Sun, J.3
  • 7
    • 84898936638 scopus 로고    scopus 로고
    • Mid-level visual element discovery as discriminative mode seeking
    • C. Doersch, A. Gupta, and A. A. Efros. Mid-level visual element discovery as discriminative mode seeking. In NIPS, pages 494-502, 2013.
    • (2013) NIPS , pp. 494-502
    • Doersch, C.1    Gupta, A.2    Efros, A.A.3
  • 9
    • 51949101231 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model
    • P. F. Felzenszwalb, D. A. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In CVPR, 2008.
    • (2008) CVPR
    • Felzenszwalb, P.F.1    McAllester, D.A.2    Ramanan, D.3
  • 11
  • 12
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • R. B. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, pages 580-587, 2014.
    • (2014) CVPR , pp. 580-587
    • Girshick, R.B.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 15
    • 84959236250 scopus 로고    scopus 로고
    • Hypercolumns for object segmentation and fine-grained localization
    • B. Hariharan, P. A. Arbeláez, R. B. Girshick, and J. Malik. Hypercolumns for object segmentation and fine-grained localization. In CVPR, pages 447-456, 2015.
    • (2015) CVPR , pp. 447-456
    • Hariharan, B.1    Arbeláez, P.A.2    Girshick, R.B.3    Malik, J.4
  • 16
    • 84911392501 scopus 로고    scopus 로고
    • Detecting objects using deformation dictionaries
    • B. Hariharan, C. L. Zitnick, and P. Dollár. Detecting objects using deformation dictionaries. In CVPR, pages 1995-2002, 2014.
    • (2014) CVPR , pp. 1995-2002
    • Hariharan, B.1    Zitnick, C.L.2    Dollár, P.3
  • 21
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, pages 1106-1114, 2012.
    • (2012) NIPS , pp. 1106-1114
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 25
    • 84973860883 scopus 로고    scopus 로고
    • Semantic image segmentation via deep parsing network
    • Z. Liu, X. Li, P. Luo, C. C. Loy, , and X. Tang. Semantic image segmentation via deep parsing network. In ICCV, 2015.
    • (2015) ICCV
    • Liu, Z.1    Li, X.2    Luo, P.3    Loy, C.C.4    Tang, X.5
  • 26
    • 84945230598 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • J. Long, E. Shelhamer, and T. Darrell. Fully convolutional networks for semantic segmentation. In CVPR, pages 3431-3440, 2015.
    • (2015) CVPR , pp. 3431-3440
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 32
    • 84960980241 scopus 로고    scopus 로고
    • Faster r-cnn: Towards real-time object detection with region proposal networks
    • S. Ren, K. He, R. Girshick, and J. Sun. Faster r-cnn: Towards real-time object detection with region proposal networks. NIPS, 2015.
    • (2015) NIPS
    • Ren, S.1    He, K.2    Girshick, R.3    Sun, J.4
  • 36
    • 84957664417 scopus 로고    scopus 로고
    • Object detection by labeling superpixels
    • J. Yan, Y. Yu, X. Zhu, Z. Lei, and S. Z. Li. Object detection by labeling superpixels. In CVPR, pages 5107-5116, 2015.
    • (2015) CVPR , pp. 5107-5116
    • Yan, J.1    Yu, Y.2    Zhu, X.3    Lei, Z.4    Li, S.Z.5
  • 37
    • 84959233955 scopus 로고    scopus 로고
    • SegDeepM: Exploiting segmentation and context in deep neural networks for object detection
    • Y. Zhu, R. Urtasun, R. Salakhutdinov, and S. Fidler. segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection. In CVPR, 2015.
    • (2015) CVPR
    • Zhu, Y.1    Urtasun, R.2    Salakhutdinov, R.3    Fidler, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.