메뉴 건너뛰기




Volumn 9796 LNCS, Issue , 2016, Pages 64-75

Convolutional scale invariance for semantic segmentation

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; IMAGE SEGMENTATION; PATTERN RECOGNITION; SEMANTICS;

EID: 84988418422     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-45886-1_6     Document Type: Conference Paper
Times cited : (46)

References (32)
  • 1
    • 85044273717 scopus 로고    scopus 로고
    • Higher order potentials in end-to-end trainable conditional random fields
    • Arnab, A., Jayasumana, S., Zheng, S., Torr, P.H.S.: Higher order potentials in end-to-end trainable conditional random fields. CoRR abs/1511.08119 (2015)
    • (2015) Corr Abs/1511 , pp. 08119
    • Arnab, A.1    Jayasumana, S.2    Zheng, S.3    Torr, P.4
  • 2
    • 84959216973 scopus 로고    scopus 로고
    • Second-order constrained parametric proposals and sequential search-based structured prediction for semantic segmentation in RGB-D images
    • CVPR 2015, Boston, MA, USA, 7–12 June
    • Banica, D., Sminchisescu, C.: Second-order constrained parametric proposals and sequential search-based structured prediction for semantic segmentation in RGB-D images. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, pp. 3517–3526, 7–12 June 2015
    • (2015) IEEE Conference on Computer Vision and Pattern Recognition , pp. 3517-3526
    • Banica, D.1    Sminchisescu, C.2
  • 5
    • 84965102370 scopus 로고    scopus 로고
    • Urtasun, R.: 3d object proposals for accurate object class detection
    • Chen, X., Kundu, K., Zhu, Y., Berneshawi, A., Ma, H., Fidler, S., Urtasun, R.: 3d object proposals for accurate object class detection. In: NIPS (2015)
    • (2015) NIPS
    • Chen, X.1    Kundu, K.2    Zhu, Y.3    Berneshawi, A.4    Ma, H.5    Fidler, S.6
  • 8
    • 84973897611 scopus 로고    scopus 로고
    • Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
    • ICCV 2015, Santiago, Chile, 7–13 December
    • Eigen, D., Fergus, R.: Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture. In: 2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, pp. 2650–2658, 7–13 December 2015
    • (2015) IEEE International Conference on Computer Vision , pp. 2650-2658
    • Eigen, D.1    Fergus, R.2
  • 14
    • 84969584486 scopus 로고    scopus 로고
    • Batch normalization: Accelerating deep network training by reducing internal covariate shift
    • ICML 2015, Lille, France, 6–11 July
    • Ioffe, S., Szegedy, C.: Batch normalization: Accelerating deep network training by reducing internal covariate shift. In: Proceedings of the International Conference on Machine Learning, ICML 2015, Lille, France, pp. 448–456, 6–11 July 2015
    • (2015) Proceedings of the International Conference on Machine Learning , pp. 448-456
    • Ioffe, S.1    Szegedy, C.2
  • 16
    • 85019091282 scopus 로고    scopus 로고
    • Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding
    • Kendall, A., Badrinarayanan, V., Cipolla, R.: Bayesian segnet: model uncertainty in deep convolutional encoder-decoder architectures for scene understanding. CoRR abs/1511.02680 (2015)
    • (2015) Corr Abs/1511 , pp. 02680
    • Kendall, A.1    Badrinarayanan, V.2    Cipolla, R.3
  • 17
    • 85083951076 scopus 로고    scopus 로고
    • Adam: A method for stochastic optimization
    • Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. CoRR abs/ 1412.6980 (2014)
    • (2014) Corr Abs , vol.1412 , pp. 6980
    • Kingma, D.P.1    Ba, J.2
  • 25
    • 84973879016 scopus 로고    scopus 로고
    • Learning deconvolution network for semantic segmentation
    • ICCV 2015, Santiago, Chile, 7–13 December 2015
    • Noh, H., Hong, S., Han, B.: Learning deconvolution network for semantic segmentation. In: 2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, 7–13 December 2015, pp. 1520–1528 (2015)
    • (2015) IEEE International Conference on Computer Vision , pp. 1520-1528
    • Noh, H.1    Hong, S.2    Han, B.3
  • 28
    • 58149151266 scopus 로고    scopus 로고
    • Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
    • Shotton, J., Winn, J.M., Rother, C., Criminisi, A.: Textonboost for image understanding: multi-class object recognition and segmentation by jointly modeling texture, layout, and context. Int. J. Comput. Vis. 81(1), 2–23 (2009)
    • (2009) Int. J. Comput. Vis , vol.81 , Issue.1 , pp. 2-23
    • Shotton, J.1    Winn, J.M.2    Rother, C.3    Criminisi, A.4
  • 30
    • 2142812371 scopus 로고    scopus 로고
    • Robust real-time face detection
    • Viola, P.A., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137–154 (2004)
    • (2004) Int. J. Comput. Vis , vol.57 , Issue.2 , pp. 137-154
    • Viola, P.A.1    Jones, M.2
  • 32
    • 84988418296 scopus 로고    scopus 로고
    • Stereo matching by training a convolutional neural network to compare image patches
    • Zbontar, J., LeCun, Y.: Stereo matching by training a convolutional neural network to compare image patches. CoRR abs/1510.05970 (2015)
    • (2015) Corr Abs/1510 , pp. 05970
    • Zbontar, J.1    Lecun, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.