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Volumn 2016-January, Issue , 2016, Pages 3538-3544

Bridging saliency detection to weakly supervised object detection based on self-paced curriculum learning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; CURRICULA; OBJECT RECOGNITION;

EID: 85006136405     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (62)

References (32)
  • 1
    • 70450186191 scopus 로고    scopus 로고
    • Frequency-tuned salient region detection
    • R. Achanta, S. Hemami, F. Estrada and S. Susstrunk. Frequency-tuned salient region detection. In CVPR, pages 1597-1604, 2009.
    • (2009) CVPR , pp. 1597-1604
    • Achanta, R.1    Hemami, S.2    Estrada, F.3    Susstrunk, S.4
  • 3
    • 84919725433 scopus 로고    scopus 로고
    • Weakly supervised object detection with posterior regularization
    • H. Bilen, M. Pedersoli and T. Tuytelaars. Weakly supervised object detection with posterior regularization. In BMVC, 2014.
    • (2014) BMVC
    • Bilen, H.1    Pedersoli, M.2    Tuytelaars, T.3
  • 4
    • 84959226265 scopus 로고    scopus 로고
    • Weakly supervised object detection with convex clustering
    • H. Bilen, M. Pedersoli and T. Tuytelaars. Weakly supervised object detection with convex clustering. In CVPR, pages 1081-1089, 2015.
    • (2015) CVPR , pp. 1081-1089
    • Bilen, H.1    Pedersoli, M.2    Tuytelaars, T.3
  • 5
    • 84923094805 scopus 로고    scopus 로고
    • Global contrast based salient region detection
    • M. Cheng, N. J. Mitra, X. Huang, P. H. Torr and S. Hu. Global contrast based salient region detection. PAMI, 37 (3): 569-582, 2015.
    • (2015) PAMI , vol.37 , Issue.3 , pp. 569-582
    • Cheng, M.1    Mitra, N.J.2    Huang, X.3    Torr, P.H.4    Hu, S.5
  • 6
    • 84911376072 scopus 로고    scopus 로고
    • Multi-fold mil training for weakly supervised object localization
    • R. G. Cinbis, J. Verbeek and C. Schmid. Multi-fold mil training for weakly supervised object localization. In CVPR, pages 2409-2416, 2014.
    • (2014) CVPR , pp. 2409-2416
    • Cinbis, R.G.1    Verbeek, J.2    Schmid, C.3
  • 7
    • 84867062047 scopus 로고    scopus 로고
    • Weakly supervised localization and learning with generic knowledge
    • T. Deselaers, B. Alexe and V. Ferrari. Weakly supervised localization and learning with generic knowledge. IJCV, 100 (3): 275-293, 2012.
    • (2012) IJCV , vol.100 , Issue.3 , pp. 275-293
    • Deselaers, T.1    Alexe, B.2    Ferrari, V.3
  • 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, pages 580-587, 2014.
    • (2014) CVPR , pp. 580-587
    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 11
    • 84926497888 scopus 로고    scopus 로고
    • Background prior-based salient object detection via deep reconstruction residual
    • J. Han, D. Zhang, X. Hu, L. Guo, J. Ren and F. Wu. Background prior-based salient object detection via deep reconstruction residual. CSVT, 25 (8): 1309-1321, 2015.
    • (2015) CSVT , vol.25 , Issue.8 , pp. 1309-1321
    • Han, J.1    Zhang, D.2    Hu, X.3    Guo, L.4    Ren, J.5    Wu, F.6
  • 12
    • 84923658437 scopus 로고    scopus 로고
    • Two-stage learning to predict human eye fixations via SDAEs
    • J. Han, D. Zhang, S. Wen, L. Guo, T. Liu, and X. Li. Two-stage learning to predict human eye fixations via SDAEs, TCYB, 46 (2): 487-498, 2016.
    • (2016) TCYB , vol.46 , Issue.2 , pp. 487-498
    • Han, J.1    Zhang, D.2    Wen, S.3    Guo, L.4    Liu, T.5    Li, X.6
  • 13
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • L. Itti, C. Koch and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. PAMI, 20 (11): 1254-1259, 1998.
    • (1998) PAMI , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 14
    • 84913585680 scopus 로고    scopus 로고
    • Easy samples first: Self-paced reranking for zero-example multimedia search
    • L. Jiang, D. Meng, T. Mitamura and A. G. Hauptmann. Easy samples first: Self-paced reranking for zero-example multimedia search. In ACM-MM, pages 547-556, 2014.
    • (2014) ACM-MM , pp. 547-556
    • Jiang, L.1    Meng, D.2    Mitamura, T.3    Hauptmann, A.G.4
  • 17
    • 84856633724 scopus 로고    scopus 로고
    • Center-surround divergence of feature statistics for salient object detection
    • D. A. Klein and S. Frintrop. Center-surround divergence of feature statistics for salient object detection. In ICCV, pages 2214-2219, 2011.
    • (2011) ICCV , pp. 2214-2219
    • Klein, D.A.1    Frintrop, S.2
  • 18
    • 85161967298 scopus 로고    scopus 로고
    • Self-paced learning for latent variable models
    • M. P. Kumar, B. Packer and D. Koller. Self-paced learning for latent variable models. In NIPS, pages 1189-1197, 2010.
    • (2010) NIPS , pp. 1189-1197
    • Kumar, M.P.1    Packer, B.2    Koller, D.3
  • 19
    • 84904430289 scopus 로고    scopus 로고
    • Transfer learning with graph co-regularization
    • Mi. Long, J. Wang, G. Ding, D. Shen, and Q. Yang. Transfer learning with graph co-regularization. TKDE, 26 (7): 1805-1818, 2014.
    • (2014) TKDE , vol.26 , Issue.7 , pp. 1805-1818
    • Long, M.1    Wang, J.2    Ding, G.3    Shen, D.4    Yang, Q.5
  • 20
    • 84941089808 scopus 로고    scopus 로고
    • Bayesian joint modelling for object localisation in weakly labelled images
    • Z. Shi, T. M. Hospedales and T. Xiang. Bayesian joint modelling for object localisation in weakly labelled images. PAMI, 37 (10): 1959-1972, 2015.
    • (2015) PAMI , vol.37 , Issue.10 , pp. 1959-1972
    • Shi, Z.1    Hospedales, T.M.2    Xiang, T.3
  • 21
    • 84898427060 scopus 로고    scopus 로고
    • Transfer learning by ranking for weakly supervised object annotation
    • Z. Shi, P. Siva, T. Xiang and Q. Mary. Transfer learning by ranking for weakly supervised object annotation. In BMVC, 2012.
    • (2012) BMVC
    • Shi, Z.1    Siva, P.2    Xiang, T.3    Mary, Q.4
  • 22
    • 84867866572 scopus 로고    scopus 로고
    • In defence of negative mining for annotating weakly labelled data
    • P. Siva, C. Russell and T. Xiang. In defence of negative mining for annotating weakly labelled data. In ECCV, pages 594-608, 2012.
    • (2012) ECCV , pp. 594-608
    • Siva, P.1    Russell, C.2    Xiang, T.3
  • 23
    • 84887368488 scopus 로고    scopus 로고
    • Looking beyond the image: Unsupervised learning for object saliency and detection
    • P. Siva, C. Russell, T. Xiang and L. Agapito. Looking beyond the image: Unsupervised learning for object saliency and detection. In CVPR, pages 3238-3245, 2013.
    • (2013) CVPR , pp. 3238-3245
    • Siva, P.1    Russell, C.2    Xiang, T.3    Agapito, L.4
  • 24
    • 84856651319 scopus 로고    scopus 로고
    • Weakly supervised object detector learning with model drift detection
    • P. Siva and T. Xiang. Weakly supervised object detector learning with model drift detection. In ICCV, pages 343-350, 2011.
    • (2011) ICCV , pp. 343-350
    • Siva, P.1    Xiang, T.2
  • 26
    • 84937853706 scopus 로고    scopus 로고
    • Weakly-supervised discovery of visual pattern configurations
    • H. O. Song, Y. J. Lee, S. Jegelka and T. Darrell. Weakly-supervised discovery of visual pattern configurations. In NIPS, pages 1637-1645, 2014.
    • (2014) NIPS , pp. 1637-1645
    • Song, H.O.1    Lee, Y.J.2    Jegelka, S.3    Darrell, T.4
  • 28
    • 84949870633 scopus 로고    scopus 로고
    • Salient object detection via augmented hypotheses
    • T. Van Nguyen and J. Sepulveda. Salient object detection via augmented hypotheses. In IJCAI, pages 2176-2182, 2015.
    • (2015) IJCAI , pp. 2176-2182
    • Van Nguyen, T.1    Sepulveda, J.2
  • 29
    • 84906334472 scopus 로고    scopus 로고
    • Weakly supervised object localization with latent category learning
    • C. Wang, W. Ren, K. Huang and T. Tan. Weakly supervised object localization with latent category learning. In ECCV, pages 431-445, 2014.
    • (2014) ECCV , pp. 431-445
    • Wang, C.1    Ren, W.2    Huang, K.3    Tan, T.4
  • 30
    • 84949780810 scopus 로고    scopus 로고
    • Multi-view self-paced learning for clustering
    • C. Xu, D. Tao and C. Xu. Multi-view self-paced learning for clustering. In IJCAI, pages 3974-3980, 2015.
    • (2015) IJCAI , pp. 3974-3980
    • Xu, C.1    Tao, D.2    Xu, C.3
  • 31
    • 34547816043 scopus 로고    scopus 로고
    • A weighted support vector machine for data classification
    • X. Yang, Q. Song and Y. Wang. A weighted support vector machine for data classification. IJPRAI, 21 (5): 961-976, 2007.
    • (2007) IJPRAI , vol.21 , Issue.5 , pp. 961-976
    • Yang, X.1    Song, Q.2    Wang, Y.3
  • 32
    • 84973896942 scopus 로고    scopus 로고
    • A self-paced multiple-instance learning framework for co-saliency detection
    • D. Zhang, D. Meng, C. Li, L. Jiang, Q. Zhao and J. Han. A self-paced multiple-instance learning framework for co-saliency detection. In ICCV, pages 594-602, 2015.
    • (2015) ICCV , pp. 594-602
    • Zhang, D.1    Meng, D.2    Li, C.3    Jiang, L.4    Zhao, Q.5    Han, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.