메뉴 건너뛰기




Volumn 2016-December, Issue , 2016, Pages 864-873

Factors in finetuning deep model for object detection with long-tail distribution

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; OBJECT RECOGNITION; PATTERN RECOGNITION; STATISTICAL TESTS;

EID: 84986302036     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.100     Document Type: Conference Paper
Times cited : (235)

References (49)
  • 1
  • 2
    • 84885880085 scopus 로고    scopus 로고
    • Object detection using stronglysupervised deformable part models
    • 2
    • H. Azizpour and I. Laptev. Object detection using stronglysupervised deformable part models. In ECCV, 2012.
    • (2012) ECCV
    • Azizpour, H.1    Laptev, I.2
  • 4
    • 85009841575 scopus 로고    scopus 로고
    • Structured feature learning for pose estimation
    • 2
    • X. Chu, W. Ouyang, H. Li, and X. Wang. Structured feature learning for pose estimation. In CVPR, 2016.
    • (2016) CVPR
    • Chu, X.1    Ouyang, W.2    Li, H.3    Wang, X.4
  • 5
    • 84973866177 scopus 로고    scopus 로고
    • Multi-task recurrent neural network for immediacy prediction
    • 1
    • X. Chu, W. Ouyang, W. Yang, and X. Wang. Multi-task recurrent neural network for immediacy prediction. In ICCV, 2015.
    • (2015) ICCV
    • Chu, X.1    Ouyang, W.2    Yang, W.3    Wang, X.4
  • 6
    • 84885880876 scopus 로고    scopus 로고
    • Crosstalk cascades for frame-rate pedestrian detection
    • 2
    • P. Dollár, R. Appel, and W. Kienzle. Crosstalk cascades for frame-rate pedestrian detection. In ECCV, 2012.
    • (2012) ECCV
    • Dollár, P.1    Appel, R.2    Kienzle, W.3
  • 7
    • 84921971467 scopus 로고    scopus 로고
    • Learning a deep convolutional network for image super-resolution
    • C. Dong, C. C. Loy, K. He, and X. Tang. Learning a deep convolutional network for image super-resolution. In ECCV. 2014.
    • (2014) ECCV , vol.2
    • Dong, C.1    Loy, C.C.2    He, K.3    Tang, X.4
  • 8
  • 9
    • 77955999401 scopus 로고    scopus 로고
    • Cascade object detection with deformable part models
    • 2
    • P. Felzenszwalb, R. Girshick, and D. McAllester. Cascade object detection with deformable part models. In CVPR, 2010.
    • (2010) CVPR
    • Felzenszwalb, P.1    Girshick, R.2    McAllester, D.3
  • 10
    • 77955422240 scopus 로고    scopus 로고
    • Object detection with discriminatively trained part based models
    • 1, 2
    • P. Felzenszwalb, R. B. Grishick, D. McAllister, and D. Ramanan. Object detection with discriminatively trained part based models. IEEE Trans. PAMI, 32: 1627-1645, 2010.
    • (2010) IEEE Trans. PAMI , vol.32 , pp. 1627-1645
    • Felzenszwalb, P.1    Grishick, R.B.2    McAllister, D.3    Ramanan, D.4
  • 11
    • 85029359197 scopus 로고    scopus 로고
    • Fast r-cnn
    • 2
    • R. Girshick. Fast r-cnn. ICCV, 2015.
    • (2015) ICCV
    • Girshick, R.1
  • 12
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • 1, 2, 3, 4, 7, 8
    • 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
  • 13
    • 84959195179 scopus 로고    scopus 로고
    • Deformable part models are convolutional neural networks
    • 2
    • 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
  • 14
    • 85009918748 scopus 로고    scopus 로고
    • Spatial pyramid pooling in deep convolutional networks for visual recognition
    • 2, 8
    • 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
    • 84986331475 scopus 로고    scopus 로고
    • Object detection from video tubelets with convolutional neural networks
    • 2
    • K. Kang, W. Ouyang, H. Li, and X. Wang. Object detection from video tubelets with convolutional neural networks. In CVPR, 2016.
    • (2016) CVPR
    • Kang, K.1    Ouyang, W.2    Li, H.3    Wang, X.4
  • 17
    • 84977487323 scopus 로고    scopus 로고
    • arXiv preprint arXiv: 1506. 06981, 2
    • K. Lenc and A. Vedaldi. R-cnn minus r. ArXiv preprint arXiv: 1506. 06981, 2015.
    • (2015) R-cnn Minus R
    • Lenc, K.1    Vedaldi, A.2
  • 19
    • 84866665255 scopus 로고    scopus 로고
    • Hierarchical face parsing via deep learning
    • 2
    • P. Luo, X. Wang, and X. Tang. Hierarchical face parsing via deep learning. In CVPR, 2012.
    • (2012) CVPR
    • Luo, P.1    Wang, X.2    Tang, X.3
  • 21
    • 84911409274 scopus 로고    scopus 로고
    • Multi-source deep learning for human pose estimation
    • 2
    • W. Ouyang, X. Chu, and X. Wang. Multi-source deep learning for human pose estimation. In CVPR, 2014.
    • (2014) CVPR
    • Ouyang, W.1    Chu, X.2    Wang, X.3
  • 22
    • 84973862714 scopus 로고    scopus 로고
    • Learning deep representation with large-scale attributes
    • 1
    • W. Ouyang, H. Li, X. Zeng, and X. Wang. Learning deep representation with large-scale attributes. In ICCV, 2015.
    • (2015) ICCV
    • Ouyang, W.1    Li, H.2    Zeng, X.3    Wang, X.4
  • 23
    • 84866696906 scopus 로고    scopus 로고
    • A discriminative deep model for pedestrian detection with occlusion handling
    • 2
    • W. Ouyang and X. Wang. A discriminative deep model for pedestrian detection with occlusion handling. In CVPR, 2012.
    • (2012) CVPR
    • Ouyang, W.1    Wang, X.2
  • 24
    • 84898788725 scopus 로고    scopus 로고
    • Joint deep learning for pedestrian detection
    • 2
    • W. Ouyang and X. Wang. Joint deep learning for pedestrian detection. In ICCV, 2013.
    • (2013) ICCV
    • Ouyang, W.1    Wang, X.2
  • 26
    • 84959553080 scopus 로고    scopus 로고
    • Learning mutual visibility relationship for pedestrian detection with a deep model
    • 2
    • W. Ouyang, X. Zeng, and X. Wang. Learning mutual visibility relationship for pedestrian detection with a deep model. IJCV, pages 1-14, 2016.
    • (2016) IJCV , pp. 1-14
    • Ouyang, W.1    Zeng, X.2    Wang, X.3
  • 31
    • 84959200559 scopus 로고    scopus 로고
    • Deeply learned attributes for crowded scene understanding
    • IEEE, 2
    • J. Shao, K. Kang, C. C. Loy, and X. Wang. Deeply learned attributes for crowded scene understanding. In CVPR, pages 4657-4666. IEEE, 2015.
    • (2015) CVPR , pp. 4657-4666
    • Shao, J.1    Kang, K.2    Loy, C.C.3    Wang, X.4
  • 32
    • 84959215617 scopus 로고    scopus 로고
    • Segmentation as selective search for object recognition
    • 2, 8
    • A. Smeulders, T. Gevers, N. Sebe, and C. Snoek. Segmentation as selective search for object recognition. In ICCV, 2011.
    • (2011) ICCV
    • Smeulders, A.1    Gevers, T.2    Sebe, N.3    Snoek, C.4
  • 33
    • 84887364811 scopus 로고    scopus 로고
    • Deep convolutional network cascade for facial point detection
    • 2
    • Y. Sun, X. Wang, and X. Tang. Deep convolutional network cascade for facial point detection. In CVPR, 2013.
    • (2013) CVPR
    • Sun, Y.1    Wang, X.2    Tang, X.3
  • 34
    • 84911126535 scopus 로고    scopus 로고
    • Deep learning face representation from predicting 10, 000 classes
    • 2
    • Y. Sun, X. Wang, and X. Tang. Deep learning face representation from predicting 10, 000 classes. In CVPR, 2014.
    • (2014) CVPR
    • Sun, Y.1    Wang, X.2    Tang, X.3
  • 37
    • 0035680116 scopus 로고    scopus 로고
    • Rapid object detection using a boosted cascade of simple features
    • 2
    • P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In CVPR, pages I: 511-I: 518, 2001.
    • (2001) CVPR , pp. I511-I518
    • Viola, P.1    Jones, M.2
  • 38
    • 84973856013 scopus 로고    scopus 로고
    • Visual tracking with fully convolutional networks
    • 1, 2
    • L. Wang, W. Ouyang, X. Wang, and H. Lu. Visual tracking with fully convolutional networks. In ICCV, pages 3119-3127, 2015.
    • (2015) ICCV , pp. 3119-3127
    • Wang, L.1    Ouyang, W.2    Wang, X.3    Lu, H.4
  • 39
    • 84986313416 scopus 로고    scopus 로고
    • Stct: Sequentially training convolutional networks for visual tracking
    • 2
    • L. Wang, W. Ouyang, X. Wang, and H. Lu. Stct: Sequentially training convolutional networks for visual tracking. In CVPR, 2016.
    • (2016) CVPR
    • Wang, L.1    Ouyang, W.2    Wang, X.3    Lu, H.4
  • 41
    • 84911377093 scopus 로고    scopus 로고
    • The fastest deformable part model for object detection
    • 2
    • J. Yan, Z. Lei, L. Wen, and S. Z. Li. The fastest deformable part model for object detection. In CVPR, 2014.
    • (2014) CVPR
    • Yan, J.1    Lei, Z.2    Wen, L.3    Li, S.Z.4
  • 43
    • 84957664417 scopus 로고    scopus 로고
    • Object detection by labeling superpixels
    • 2, 3, 7, 8
    • J. Yan, Y. Yu, X. Zhu, Z. Lei, and S. Z. Li. Object detection by labeling superpixels. In CVPR, 2015.
    • (2015) CVPR
    • Yan, J.1    Yu, Y.2    Zhu, X.3    Lei, Z.4    Li, S.Z.5
  • 44
    • 84911380286 scopus 로고    scopus 로고
    • Context driven scene parsing with attention to rare classes
    • 2
    • J. Yang, B. Price, S. Cohen, and M.-H. Yang. Context driven scene parsing with attention to rare classes. In CVPR, 2014.
    • (2014) CVPR
    • Yang, J.1    Price, B.2    Cohen, S.3    Yang, M.-H.4
  • 45
    • 84898828144 scopus 로고    scopus 로고
    • Multi-stage contextual deep learning for pedestrian detection
    • 2
    • X. Zeng, W. Ouyang, and X. Wang. Multi-stage contextual deep learning for pedestrian detection. In ICCV, 2013.
    • (2013) ICCV
    • Zeng, X.1    Ouyang, W.2    Wang, X.3
  • 46
    • 84898799986 scopus 로고    scopus 로고
    • Graph degree linkage: Agglomerative clustering on a directed graph
    • W. Zhang, X. Wang, D. Zhao, and X. Tang. Graph degree linkage: Agglomerative clustering on a directed graph. In ECCV. 2012.
    • (2012) ECCV , vol.5
    • Zhang, W.1    Wang, X.2    Zhao, D.3    Tang, X.4
  • 47
    • 84959196836 scopus 로고    scopus 로고
    • Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction
    • 2
    • Y. Zhang, K. Sohn, R. Villegas, G. Pan, and H. Lee. Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction. In CVPR, 2015.
    • (2015) CVPR
    • Zhang, Y.1    Sohn, K.2    Villegas, R.3    Pan, G.4    Lee, H.5
  • 48
    • 84906348918 scopus 로고    scopus 로고
    • Facial landmark detection by deep multi-task learning
    • Z. Zhang, P. Luo, C. C. Loy, and X. Tang. Facial landmark detection by deep multi-task learning. In ECCV, pages 94-108. 2014.
    • (2014) ECCV , vol.2 , pp. 94-108
    • Zhang, Z.1    Luo, P.2    Loy, C.C.3    Tang, X.4
  • 49
    • 84898819011 scopus 로고    scopus 로고
    • Deep learning identity-preserving face space
    • 2
    • Z. Zhu, P. Luo, X. Wang, and X. Tang. Deep learning identity-preserving face space. In ICCV, pages 113-120, 2013.
    • (2013) ICCV , pp. 113-120
    • Zhu, Z.1    Luo, P.2    Wang, X.3    Tang, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.