메뉴 건너뛰기




Volumn 2017-October, Issue , 2017, Pages 843-852

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE SEGMENTATION; OBJECT DETECTION; PROGRAM PROCESSORS; SEMANTICS;

EID: 85041923826     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2017.97     Document Type: Conference Paper
Times cited : (2605)

References (44)
  • 1
    • 84973389608 scopus 로고    scopus 로고
    • Analyzing the performance of multilayer neural networks for object recognition
    • P. Agrawal, R. B. Girshick, and J. Malik. Analyzing the performance of multilayer neural networks for object recognition. In ECCV, 2014
    • (2014) ECCV
    • Agrawal, P.1    Girshick, R.B.2    Malik, J.3
  • 2
    • 85161970767 scopus 로고    scopus 로고
    • Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach
    • A. Bergamo and L. Torresani. Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach. In NIPS. 2010
    • (2010) NIPS.
    • Bergamo, A.1    Torresani, L.2
  • 5
    • 84973865248 scopus 로고    scopus 로고
    • Webly supervised learning of convolutional networks
    • X. Chen and A. Gupta. Webly supervised learning of convolutional networks. In ICCV, 2015
    • (2015) ICCV
    • Chen, X.1    Gupta, A.2
  • 6
    • 84898803720 scopus 로고    scopus 로고
    • Neil: Extracting visual knowledge from web data
    • X. Chen, A. Shrivastava, and A. Gupta. Neil: Extracting visual knowledge from web data. In ICCV, 2013
    • (2013) ICCV
    • Chen, X.1    Shrivastava, A.2    Gupta, A.3
  • 9
    • 84911368326 scopus 로고    scopus 로고
    • Learning everything about anything: Webly-supervised visual concept learning
    • S. Divvala, A. Farhadi, and C. Guestrin. Learning everything about anything: Webly-supervised visual concept learning. In CVPR, 2014
    • (2014) CVPR
    • Divvala, S.1    Farhadi, A.2    Guestrin, C.3
  • 10
    • 84973916088 scopus 로고    scopus 로고
    • Unsupervised visual representation learning by context prediction
    • C. Doersch, A. Gupta, and A. A. Efros. Unsupervised visual representation learning by context prediction. In ICCV, 2015
    • (2015) ICCV
    • Doersch, C.1    Gupta, A.2    Efros, A.A.3
  • 16
    • 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
  • 17
    • 84959176782 scopus 로고    scopus 로고
    • Distilling the knowledge in a neural network
    • G. Hinton, O. Vinyals, and J. Dean. Distilling the knowledge in a neural network. In NIPS, 2014
    • (2014) NIPS
    • Hinton, G.1    Vinyals, O.2    Dean, J.3
  • 22
    • 84959235126 scopus 로고    scopus 로고
    • What do 15,000 object categories tell us about classifying and localizing actions
    • M. Jain, J. C. van Gemert, and C. G. Snoek. What do 15,000 object categories tell us about classifying and localizing actions In CVPR, 2015
    • (2015) CVPR
    • Jain, M.1    Van Gemert, J.C.2    Snoek, C.G.3
  • 25
    • 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, 2012
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 28
    • 84911449395 scopus 로고    scopus 로고
    • Learning and transferring mid-level image representations using convolutional neural networks
    • M. Oquab, L. Bottou, I. Laptev, and J. Sivic. Learning and transferring mid-level image representations using convolutional neural networks. In CVPR, 2014
    • (2014) CVPR
    • Oquab, M.1    Bottou, L.2    Laptev, I.3    Sivic, J.4
  • 33
    • 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
  • 34
    • 84887379226 scopus 로고    scopus 로고
    • Unsupervised joint object discovery and segmentation in internet images
    • M. Rubinstein, A. Joulin, J. Kopf, and C. Liu. Unsupervised joint object discovery and segmentation in internet images. CVPR, 2013
    • (2013) CVPR
    • Rubinstein, M.1    Joulin, A.2    Kopf, J.3    Liu, C.4
  • 41
    • 80052908300 scopus 로고    scopus 로고
    • Unbiased look at dataset bias
    • A. Torralba and A. Efros. Unbiased look at dataset bias. CVPR, 2011
    • (2011) CVPR
    • Torralba, A.1    Efros, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.