메뉴 건너뛰기




Volumn 2017-October, Issue , 2017, Pages 2980-2988

Mask R-CNN

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE SEGMENTATION;

EID: 85040313738     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2017.322     Document Type: Conference Paper
Times cited : (22918)

References (35)
  • 1
    • 84911448580 scopus 로고    scopus 로고
    • 2D human pose estimation: New benchmark and state of the art analysis
    • M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele. 2D human pose estimation: New benchmark and state of the art analysis. In CVPR, 2014.
    • (2014) CVPR
    • Andriluka, M.1    Pishchulin, L.2    Gehler, P.3    Schiele, B.4
  • 3
    • 84986259967 scopus 로고    scopus 로고
    • Insideoutside net: Detecting objects in context with skip pooling and recurrent neural networks
    • S. Bell, C. L. Zitnick, K. Bala, and R. Girshick. Insideoutside net: Detecting objects in context with skip pooling and recurrent neural networks. In CVPR, 2016.
    • (2016) CVPR
    • Bell, S.1    Zitnick, C.L.2    Bala, K.3    Girshick, R.4
  • 4
    • 85042428134 scopus 로고    scopus 로고
    • Realtime multiperson 2d pose estimation using part affinity fields
    • Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh. Realtime multiperson 2d pose estimation using part affinity fields. In CVPR, 2017.
    • (2017) CVPR
    • Cao, Z.1    Simon, T.2    Wei, S.-E.3    Sheikh, Y.4
  • 5
    • 85041931014 scopus 로고    scopus 로고
    • Instance-sensitive fully convolutional networks
    • J. Dai, K. He, Y. Li, S. Ren, and J. Sun. Instance-sensitive fully convolutional networks. In ECCV, 2016.
    • (2016) ECCV
    • Dai, J.1    He, K.2    Li, Y.3    Ren, S.4    Sun, J.5
  • 6
    • 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, 2015.
    • (2015) CVPR
    • Dai, J.1    He, K.2    Sun, J.3
  • 7
    • 84986282070 scopus 로고    scopus 로고
    • Instance-aware semantic segmentation via multi-task network cascades
    • J. Dai, K. He, and J. Sun. Instance-aware semantic segmentation via multi-task network cascades. In CVPR, 2016.
    • (2016) CVPR
    • Dai, J.1    He, K.2    Sun, J.3
  • 8
    • 85018938177 scopus 로고    scopus 로고
    • R-FCN: Object detection via region-based fully convolutional networks
    • J. Dai, Y. Li, K. He, and J. Sun. R-FCN: Object detection via region-based fully convolutional networks. In NIPS, 2016.
    • (2016) NIPS
    • Dai, J.1    Li, Y.2    He, K.3    Sun, J.4
  • 9
    • 85029359197 scopus 로고    scopus 로고
    • Fast R-CNN
    • R. Girshick. Fast R-CNN. In ICCV, 2015.
    • (2015) ICCV
    • Girshick, R.1
  • 10
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014.
    • (2014) CVPR
    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 11
    • 84959195179 scopus 로고    scopus 로고
    • Deformable part models are convolutional neural networks
    • R. Girshick, F. Iandola, T. Darrell, and J. Malik. Deformable part models are convolutional neural networks. In CVPR, 2015.
    • (2015) CVPR
    • Girshick, R.1    Iandola, F.2    Darrell, T.3    Malik, J.4
  • 13
    • 84959236250 scopus 로고    scopus 로고
    • Hypercolumns for object segmentation and fine-grained localization
    • B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik. Hypercolumns for object segmentation and fine-grained localization. In CVPR, 2015.
    • (2015) CVPR
    • Hariharan, B.1    Arbeláez, P.2    Girshick, R.3    Malik, J.4
  • 14
    • 84928278589 scopus 로고    scopus 로고
    • Spatial pyramid pooling in deep convolutional networks for visual recognition
    • K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV. 2014.
    • (2014) ECCV.
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 15
    • 84986274465 scopus 로고    scopus 로고
    • Deep residual learning for image recognition
    • K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In CVPR, 2016.
    • (2016) CVPR
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 19
    • 84876231242 scopus 로고    scopus 로고
    • ImageNet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS, 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 21
    • 85041905984 scopus 로고    scopus 로고
    • Fully convolutional instance-aware semantic segmentation
    • Y. Li, H. Qi, J. Dai, X. Ji, and Y. Wei. Fully convolutional instance-aware semantic segmentation. In CVPR, 2017.
    • (2017) CVPR
    • Li, Y.1    Qi, H.2    Dai, J.3    Ji, X.4    Wei, Y.5
  • 24
    • 84959205572 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, 2015.
    • (2015) CVPR
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 25
    • 77956509090 scopus 로고    scopus 로고
    • Rectified linear units improve restricted boltzmann machines
    • V. Nair and G. E. Hinton. Rectified linear units improve restricted boltzmann machines. In ICML, 2010.
    • (2010) ICML
    • Nair, V.1    Hinton, G.E.2
  • 29
    • 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. In NIPS, 2015.
    • (2015) NIPS
    • Ren, S.1    He, K.2    Girshick, R.3    Sun, J.4
  • 30
    • 84986317469 scopus 로고    scopus 로고
    • Training regionbased object detectors with online hard example mining
    • A. Shrivastava, A. Gupta, and R. Girshick. Training regionbased object detectors with online hard example mining. In CVPR, 2016.
    • (2016) CVPR
    • Shrivastava, A.1    Gupta, A.2    Girshick, R.3
  • 32
    • 84983383396 scopus 로고    scopus 로고
    • Inception-v4, inception-resnet and the impact of residual connections on learning
    • C. Szegedy, S. Ioffe, and V. Vanhoucke. Inception-v4, inception-resnet and the impact of residual connections on learning. In ICLR Workshop, 2016.
    • (2016) ICLR Workshop
    • Szegedy, C.1    Ioffe, S.2    Vanhoucke, V.3
  • 35
    • 85043777453 scopus 로고    scopus 로고
    • Aggregated residual transformations for deep neural networks
    • S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He. Aggregated residual transformations for deep neural networks. In CVPR, 2017.
    • (2017) CVPR
    • Xie, S.1    Girshick, R.2    Dollár, P.3    Tu, Z.4    He, K.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.